diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3642.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3642.json new file mode 100644 index 0000000000000000000000000000000000000000..59bbf2de8caf87291fa702dda69bc368081a44d4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3642.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 3642, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the trash bin, is the table to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. back-left", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3643.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3643.json new file mode 100644 index 0000000000000000000000000000000000000000..abf51fceefe961621c180d5e2d5e4ff34cafb0b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3643.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 3643, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the table, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-left", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3644.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3644.json new file mode 100644 index 0000000000000000000000000000000000000000..9d88c176088998ba35f9ca10f615f7cd19c920bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3644.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 3644, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the trash bin and facing the door, is the table to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-right", + "C. front-left", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3818.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3818.json new file mode 100644 index 0000000000000000000000000000000000000000..30d73e2d059f190622d2f5942b311c38bd6266c3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3818.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 3818, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "21.2", + "answer_given": "21.3", + "answer_raw": "21.3", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4321.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4321.json new file mode 100644 index 0000000000000000000000000000000000000000..b7e93a7ce8762fda4449da5dfc99dd675d721572 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4321.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4321, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the trash bin, is the table to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4322.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4322.json new file mode 100644 index 0000000000000000000000000000000000000000..49b851a3bf5cb0ae4df7baa68c88899b8548ef01 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4322.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4322, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the table, is the trash bin to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4323.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4323.json new file mode 100644 index 0000000000000000000000000000000000000000..565529e0faa8481d61d241548cd5077cf83eb9ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4323.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4323, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the trash bin and facing the door, is the table to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. right", + "C. back" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4524.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4524.json new file mode 100644 index 0000000000000000000000000000000000000000..14cc05a1d35cba3cc5c9831b5f292643415bd754 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4524.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4524, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "10", + "answer_given": "10", + "answer_raw": "10", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4525.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4525.json new file mode 100644 index 0000000000000000000000000000000000000000..2d26665d1101133ef173d5e92d6107266185c996 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4525.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4525, + "question_type": "object_counting", + "question": "How many tv(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4820.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4820.json new file mode 100644 index 0000000000000000000000000000000000000000..39d33668c30556ca30993129f935c6bc0d459379 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4820.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4820, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.4", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4821.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4821.json new file mode 100644 index 0000000000000000000000000000000000000000..07bed5abdf237367cbed5199e06796b89946db87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4821.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4821, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "answer_given": "1.27", + "answer_raw": "1.27", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4822.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4822.json new file mode 100644 index 0000000000000000000000000000000000000000..79c26112a5b3e415e4246a781e8eaad3acb6dec3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4822.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4822, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4823.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4823.json new file mode 100644 index 0000000000000000000000000000000000000000..f09183587d4dae01a1b95299b06cd187f201c85e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4823.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4823, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "answer_given": "1.45", + "answer_raw": "1.45", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4824.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4824.json new file mode 100644 index 0000000000000000000000000000000000000000..1db3a3afce5f69354dc5decc47382d0ef451415a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/4824.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 4824, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the trash bin (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "answer_given": "1.29", + "answer_raw": "1.29", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/5097.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/5097.json new file mode 100644 index 0000000000000000000000000000000000000000..bfcfc637e4f7d0807bc624c9683cd34f0aa45631 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/5097.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0575_01", + "dataset": "scannet", + "question_id": 5097, + "question_type": "route_planning", + "question": "You are a robot beginning at the corner of the white wall and the brown wall, facing the glass door. You want to navigate to the green chair closest to the TVs. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. Go forward until the glass door 2. [please fill in] 3. Go forward until the green chair. You have reached the final destination.", + "options": [ + "A. Turn Left", + "B. Turn Right", + "C. Turn Back" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..85ed049ac70e7b358cf3472d31b94ad610430b3f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0575_01", + "aggregate": { + "overall": 56.76190476190476, + "object_counting_MRA:.5:.95:.05": 100.0, + "object_abs_distance_MRA:.5:.95:.05": 43.99999999999999, + "object_size_estimation_MRA:.5:.95:.05": 20.0, + "room_size_estimation_MRA:.5:.95:.05": 100.0, + "object_rel_distance_accuracy": 66.66666666666666, + "object_rel_direction_accuracy": 66.66666666666666, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, object_rel_direction_accuracy, route_planning_accuracy", + "tabulated_results": "56.762, 100.000, 44.000, 20.000, 100.000, 66.667, 66.667, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3113.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3113.json new file mode 100644 index 0000000000000000000000000000000000000000..77ae387d6471bf0242ba4b34cfb2fcc32c82b7b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3113.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3113, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (lamp, mirror, backpack, table) is the closest to the bookshelf?", + "options": [ + "A. lamp", + "B. mirror", + "C. backpack", + "D. table" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3114.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3114.json new file mode 100644 index 0000000000000000000000000000000000000000..9ddaec59b3d7af23c5709addfd89e31703b4d214 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3114.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3114, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, pillow, bed, lamp) is the closest to the table?", + "options": [ + "A. trash bin", + "B. pillow", + "C. bed", + "D. lamp" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3424.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3424.json new file mode 100644 index 0000000000000000000000000000000000000000..6a00aa8d60f63cb9096d1b46b6627ff0310859a8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3424.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3424, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bed, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "223", + "answer_given": "105.0", + "answer_raw": "105.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3425.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3425.json new file mode 100644 index 0000000000000000000000000000000000000000..97457b67a3ab22450cd262ec44000e7c5edeb381 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3425.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3425, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the chair, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "93", + "answer_given": "66.0", + "answer_raw": "66.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3426.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3426.json new file mode 100644 index 0000000000000000000000000000000000000000..1f96aa133cbb6c0e8c5428d027ebbafc8c1fa8da --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3426.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3426, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the window, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "206", + "answer_given": "94.0", + "answer_raw": "94.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3427.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3427.json new file mode 100644 index 0000000000000000000000000000000000000000..af64c5eeb6cc810d4d0a8ee815e9a3ed72299f6a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3427.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3427, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bookshelf, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "202", + "answer_given": "98.0", + "answer_raw": "98.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3428.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3428.json new file mode 100644 index 0000000000000000000000000000000000000000..519f23126d32aade869fe620eca40242ae69615f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3428.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3428, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the lamp, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "79", + "answer_given": "66.0", + "answer_raw": "66.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3429.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3429.json new file mode 100644 index 0000000000000000000000000000000000000000..fe2983d7315785c070f35ff1a3e56f9e8177fc02 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3429.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3429, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the nightstand, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "69", + "answer_given": "53.0", + "answer_raw": "53.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3430.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3430.json new file mode 100644 index 0000000000000000000000000000000000000000..78fec7184ae47aa7bdb9814c7b78099a7acc4920 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3430.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3430, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the mirror, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "103", + "answer_given": "164.0", + "answer_raw": "164.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3431.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3431.json new file mode 100644 index 0000000000000000000000000000000000000000..3dad9a1bfd14616a81ef9b2af1ece82570c8b315 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3431.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3431, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the trash bin, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "31", + "answer_given": "35.0", + "answer_raw": "35.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3432.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3432.json new file mode 100644 index 0000000000000000000000000000000000000000..c8a9592af7f651e5b9c179bed00c4d73d9a9f1cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3432.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3432, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "63", + "answer_given": "57.0", + "answer_raw": "57.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3645.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3645.json new file mode 100644 index 0000000000000000000000000000000000000000..8088ff20bbfdb67f1dd059c53a638df470f04e15 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3645.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3645, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the lamp, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. front-left", + "C. back-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3646.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3646.json new file mode 100644 index 0000000000000000000000000000000000000000..7bc56c4b4b50b1c424fa2a794f8ff39cbd7d8294 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3646.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3646, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the lamp and facing the window, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3819.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3819.json new file mode 100644 index 0000000000000000000000000000000000000000..18fbd8c4ceb901064fd5da8657e1de7faf94551d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/3819.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 3819, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "9.3", + "answer_given": "9.9", + "answer_raw": "9.9", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4050.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4050.json new file mode 100644 index 0000000000000000000000000000000000000000..b5a603579b98e6c8ab7165f2e3aefc7525219c82 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4050.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4050, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, table, chair, bed?", + "options": [ + "A. bed, chair, table, window", + "B. bed, window, chair, table", + "C. window, bed, chair, table", + "D. window, table, chair, bed" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4051.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4051.json new file mode 100644 index 0000000000000000000000000000000000000000..f421a617240e73552e15ba49bf8ed749bc235bab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4051.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4051, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, table, pillow, mirror?", + "options": [ + "A. trash bin, table, mirror, pillow", + "B. pillow, table, mirror, trash bin", + "C. pillow, table, trash bin, mirror", + "D. trash bin, table, pillow, mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "trash bin": 7, + "table": 9, + "pillow": 5, + "mirror": 8 + }, + "true_order_per_spatial_code": "pillow, trash bin, mirror, table", + "ground_truth_option_text": "pillow, table, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4052.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4052.json new file mode 100644 index 0000000000000000000000000000000000000000..2134ca68bedba4c86c5e5fbcd84d7f6ee2ff1c5a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4052.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4052, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, mirror, lamp, table?", + "options": [ + "A. bookshelf, mirror, lamp, table", + "B. lamp, table, mirror, bookshelf", + "C. lamp, mirror, table, bookshelf", + "D. lamp, table, bookshelf, mirror" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "bookshelf": 12, + "mirror": 8, + "lamp": 4, + "table": 9 + }, + "true_order_per_spatial_code": "lamp, mirror, table, bookshelf", + "ground_truth_option_text": "lamp, table, bookshelf, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4053.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4053.json new file mode 100644 index 0000000000000000000000000000000000000000..4c532268a03b098f98817c3950b2447524dde548 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4053.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4053, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, trash bin, chair, bookshelf?", + "options": [ + "A. chair, bookshelf, trash bin, mirror", + "B. mirror, trash bin, chair, bookshelf", + "C. bookshelf, mirror, trash bin, chair", + "D. chair, bookshelf, mirror, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "mirror": 8, + "trash bin": 7, + "chair": 14, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "trash bin, mirror, bookshelf, chair", + "ground_truth_option_text": "chair, bookshelf, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4054.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4054.json new file mode 100644 index 0000000000000000000000000000000000000000..0a4b4b11b31d3e083033e1e5d87c2d564e355fb9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4054.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4054, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, chair, lamp, window?", + "options": [ + "A. chair, window, mirror, lamp", + "B. lamp, chair, window, mirror", + "C. mirror, chair, lamp, window", + "D. chair, mirror, window, lamp" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4055.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4055.json new file mode 100644 index 0000000000000000000000000000000000000000..f24a32a91a245a22707908b03192840b258c013c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4055.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4055, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, mirror, table, bookshelf?", + "options": [ + "A. backpack, table, bookshelf, mirror", + "B. backpack, mirror, table, bookshelf", + "C. mirror, backpack, table, bookshelf", + "D. mirror, bookshelf, backpack, table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "backpack": 13, + "mirror": 8, + "table": 9, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "mirror, table, bookshelf, backpack", + "ground_truth_option_text": "backpack, table, bookshelf, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4056.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4056.json new file mode 100644 index 0000000000000000000000000000000000000000..df928513adbc5fe48c0adbdb31cfe7a92c1ce911 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4056.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4056, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, table, chair, window?", + "options": [ + "A. window, table, chair, lamp", + "B. lamp, table, chair, window", + "C. lamp, chair, table, window", + "D. table, window, lamp, chair" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "lamp": 4, + "table": 9, + "chair": 14, + "window": 10 + }, + "true_order_per_spatial_code": "lamp, table, window, chair", + "ground_truth_option_text": "lamp, chair, table, window", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4057.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4057.json new file mode 100644 index 0000000000000000000000000000000000000000..e1d353b391c122451eb94affd0ee9d180803aa36 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4057.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4057, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, chair, trash bin, window?", + "options": [ + "A. window, trash bin, table, chair", + "B. chair, table, window, trash bin", + "C. table, chair, trash bin, window", + "D. chair, table, trash bin, window" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 9, + "chair": 14, + "trash bin": 7, + "window": 10 + }, + "true_order_per_spatial_code": "trash bin, table, window, chair", + "ground_truth_option_text": "chair, table, window, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4058.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4058.json new file mode 100644 index 0000000000000000000000000000000000000000..72a27bd4bfa71b8b2f3cbdd162da1160639a3bdb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4058.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4058, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, nightstand, trash bin, chair?", + "options": [ + "A. table, trash bin, chair, nightstand", + "B. trash bin, nightstand, chair, table", + "C. table, nightstand, trash bin, chair", + "D. nightstand, chair, table, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 9, + "nightstand": 3, + "trash bin": 7, + "chair": 14 + }, + "true_order_per_spatial_code": "nightstand, trash bin, table, chair", + "ground_truth_option_text": "nightstand, chair, table, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4059.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4059.json new file mode 100644 index 0000000000000000000000000000000000000000..9c4d71d8b265bc568470ed108ea814544d330657 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4059.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4059, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, table, door, mirror?", + "options": [ + "A. window, door, mirror, table", + "B. table, window, door, mirror", + "C. door, table, window, mirror", + "D. window, table, door, mirror" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4060.json new file mode 100644 index 0000000000000000000000000000000000000000..dabfb96d4a3fb75d6bff972c23e2e05a7e4c8bde --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4060.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4060, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, trash bin, mirror, table?", + "options": [ + "A. nightstand, table, mirror, trash bin", + "B. trash bin, mirror, table, nightstand", + "C. mirror, trash bin, table, nightstand", + "D. nightstand, trash bin, mirror, table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "nightstand": 3, + "trash bin": 7, + "mirror": 8, + "table": 9 + }, + "true_order_per_spatial_code": "nightstand, trash bin, mirror, table", + "ground_truth_option_text": "nightstand, table, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4061.json new file mode 100644 index 0000000000000000000000000000000000000000..5b2408efd5c36c30f3fbc9a67e8ba86157e7a281 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4061.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4061, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, mirror, table, door?", + "options": [ + "A. table, trash bin, door, mirror", + "B. trash bin, mirror, door, table", + "C. door, table, mirror, trash bin", + "D. trash bin, mirror, table, door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "trash bin": 7, + "mirror": 8, + "table": 9, + "door": 1 + }, + "true_order_per_spatial_code": "door, trash bin, mirror, table", + "ground_truth_option_text": "door, table, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4062.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4062.json new file mode 100644 index 0000000000000000000000000000000000000000..0a46fa0d1d47f9dada79784f8be054b7de35c4db --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4062.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4062, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, bookshelf, chair, bed?", + "options": [ + "A. bed, chair, table, bookshelf", + "B. table, bookshelf, chair, bed", + "C. table, chair, bookshelf, bed", + "D. chair, bookshelf, table, bed" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4063.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4063.json new file mode 100644 index 0000000000000000000000000000000000000000..6887ae53b216235ccf0140b39cdad110a55d15f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4063.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4063, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, chair, trash bin, bookshelf?", + "options": [ + "A. bookshelf, trash bin, chair, table", + "B. table, chair, trash bin, bookshelf", + "C. bookshelf, trash bin, table, chair", + "D. chair, table, bookshelf, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 9, + "chair": 14, + "trash bin": 7, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "trash bin, table, bookshelf, chair", + "ground_truth_option_text": "chair, table, bookshelf, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4064.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4064.json new file mode 100644 index 0000000000000000000000000000000000000000..826338577fa617d2c56f51e93c02573c6e226dd9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4064.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4064, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, window, table, mirror?", + "options": [ + "A. bed, window, table, mirror", + "B. bed, table, window, mirror", + "C. bed, table, mirror, window", + "D. mirror, table, window, bed" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "bed": 0, + "window": 10, + "table": 9, + "mirror": 8 + }, + "true_order_per_spatial_code": "bed, mirror, table, window", + "ground_truth_option_text": "bed, table, window, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4065.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4065.json new file mode 100644 index 0000000000000000000000000000000000000000..9309f436a176cfa600e1a5a8bd97a30d33d11b2c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4065.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4065, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, door, table, trash bin?", + "options": [ + "A. bookshelf, door, table, trash bin", + "B. table, trash bin, bookshelf, door", + "C. door, table, bookshelf, trash bin", + "D. trash bin, table, bookshelf, door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4066.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4066.json new file mode 100644 index 0000000000000000000000000000000000000000..85595bec59a9a14d919d8f9e57f67fad0fc729cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4066.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4066, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, mirror, bed, trash bin?", + "options": [ + "A. table, mirror, bed, trash bin", + "B. table, bed, trash bin, mirror", + "C. table, mirror, trash bin, bed", + "D. bed, table, mirror, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 9, + "mirror": 8, + "bed": 0, + "trash bin": 7 + }, + "true_order_per_spatial_code": "bed, trash bin, mirror, table", + "ground_truth_option_text": "bed, table, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4067.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4067.json new file mode 100644 index 0000000000000000000000000000000000000000..8b0ef0194a9b4f259a7d31086ab303e50b0236ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4067.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4067, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, trash bin, chair, bookshelf?", + "options": [ + "A. lamp, trash bin, chair, bookshelf", + "B. lamp, chair, bookshelf, trash bin", + "C. lamp, trash bin, bookshelf, chair", + "D. trash bin, chair, lamp, bookshelf" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "lamp": 4, + "trash bin": 7, + "chair": 14, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "lamp, trash bin, bookshelf, chair", + "ground_truth_option_text": "lamp, chair, bookshelf, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4068.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4068.json new file mode 100644 index 0000000000000000000000000000000000000000..92ee15e3b312ce5bfebdcc8279f93da844a40a1f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4068.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4068, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, mirror, table, window?", + "options": [ + "A. lamp, table, window, mirror", + "B. table, window, mirror, lamp", + "C. lamp, mirror, table, window", + "D. mirror, lamp, window, table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "lamp": 4, + "mirror": 8, + "table": 9, + "window": 10 + }, + "true_order_per_spatial_code": "lamp, mirror, table, window", + "ground_truth_option_text": "lamp, table, window, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4069.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4069.json new file mode 100644 index 0000000000000000000000000000000000000000..4d6617f87cf6d37ab39b537cc21f191db118901e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4069.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4069, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, table, chair, bookshelf?", + "options": [ + "A. chair, bookshelf, door, table", + "B. bookshelf, table, chair, door", + "C. door, table, chair, bookshelf", + "D. door, chair, table, bookshelf" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 1, + "table": 9, + "chair": 14, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "door, table, bookshelf, chair", + "ground_truth_option_text": "door, chair, table, bookshelf", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4070.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4070.json new file mode 100644 index 0000000000000000000000000000000000000000..45fb7b078d3817f576ae4ac40d6a8e0b70572a4a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4070.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4070, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, table, mirror, bookshelf?", + "options": [ + "A. table, mirror, bed, bookshelf", + "B. bed, table, bookshelf, mirror", + "C. bed, table, mirror, bookshelf", + "D. table, bookshelf, mirror, bed" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "bed": 0, + "table": 9, + "mirror": 8, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "bed, mirror, table, bookshelf", + "ground_truth_option_text": "bed, table, bookshelf, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4071.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4071.json new file mode 100644 index 0000000000000000000000000000000000000000..f9777716695ab0aec8c38358bf3536cbe9396384 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4071.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4071, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, table, bookshelf, lamp?", + "options": [ + "A. chair, table, bookshelf, lamp", + "B. bookshelf, lamp, chair, table", + "C. lamp, chair, table, bookshelf", + "D. chair, lamp, bookshelf, table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4072.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4072.json new file mode 100644 index 0000000000000000000000000000000000000000..eaf9194fc27094fd6f1ed3aad56ccf36c28ba7c8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4072.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4072, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, chair, lamp, table?", + "options": [ + "A. lamp, chair, table, trash bin", + "B. lamp, table, trash bin, chair", + "C. trash bin, table, chair, lamp", + "D. trash bin, chair, lamp, table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "trash bin": 7, + "chair": 14, + "lamp": 4, + "table": 9 + }, + "true_order_per_spatial_code": "lamp, trash bin, table, chair", + "ground_truth_option_text": "lamp, chair, table, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4073.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4073.json new file mode 100644 index 0000000000000000000000000000000000000000..7238583e512f5fa4840ebb1833a189e8dfad20f7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4073.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4073, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, trash bin, nightstand, chair?", + "options": [ + "A. nightstand, chair, mirror, trash bin", + "B. chair, mirror, trash bin, nightstand", + "C. mirror, trash bin, nightstand, chair", + "D. trash bin, nightstand, mirror, chair" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "mirror": 8, + "trash bin": 7, + "nightstand": 3, + "chair": 14 + }, + "true_order_per_spatial_code": "nightstand, trash bin, mirror, chair", + "ground_truth_option_text": "nightstand, chair, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4074.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4074.json new file mode 100644 index 0000000000000000000000000000000000000000..037cc455856632973c377bf52e7f6fae0b0da492 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4074.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4074, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, table, window, backpack?", + "options": [ + "A. backpack, window, chair, table", + "B. chair, table, window, backpack", + "C. table, backpack, chair, window", + "D. backpack, chair, table, window" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "chair": 14, + "table": 9, + "window": 10, + "backpack": 13 + }, + "true_order_per_spatial_code": "table, window, backpack, chair", + "ground_truth_option_text": "backpack, chair, table, window", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4075.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4075.json new file mode 100644 index 0000000000000000000000000000000000000000..cde3b5942dc9ef08d83325f7c9f3914b9e5c4018 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4075.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4075, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, table, lamp, mirror?", + "options": [ + "A. table, mirror, trash bin, lamp", + "B. trash bin, table, lamp, mirror", + "C. lamp, table, mirror, trash bin", + "D. table, mirror, lamp, trash bin" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "trash bin": 7, + "table": 9, + "lamp": 4, + "mirror": 8 + }, + "true_order_per_spatial_code": "lamp, trash bin, mirror, table", + "ground_truth_option_text": "lamp, table, mirror, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4076.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4076.json new file mode 100644 index 0000000000000000000000000000000000000000..eadbf923b10facfc6282d268854d7823f2f75fe8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4076.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4076, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, chair, backpack, bookshelf?", + "options": [ + "A. mirror, chair, backpack, bookshelf", + "B. backpack, chair, bookshelf, mirror", + "C. backpack, chair, mirror, bookshelf", + "D. backpack, bookshelf, chair, mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "mirror": 8, + "chair": 14, + "backpack": 13, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "mirror, bookshelf, backpack, chair", + "ground_truth_option_text": "backpack, chair, bookshelf, mirror", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4077.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4077.json new file mode 100644 index 0000000000000000000000000000000000000000..5cad6dcf85ca304cde4b0e504fcec5519fe40fb0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4077.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4077, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, pillow, trash bin, window?", + "options": [ + "A. table, window, trash bin, pillow", + "B. pillow, table, window, trash bin", + "C. window, trash bin, pillow, table", + "D. table, pillow, trash bin, window" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4078.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4078.json new file mode 100644 index 0000000000000000000000000000000000000000..6500dfe87206839a037a1c527c9e993972f6a89c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4078.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4078, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, chair, pillow, bookshelf?", + "options": [ + "A. pillow, chair, bookshelf, trash bin", + "B. trash bin, pillow, chair, bookshelf", + "C. bookshelf, chair, pillow, trash bin", + "D. trash bin, chair, pillow, bookshelf" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "trash bin": 7, + "chair": 14, + "pillow": 5, + "bookshelf": 12 + }, + "true_order_per_spatial_code": "pillow, trash bin, bookshelf, chair", + "ground_truth_option_text": "pillow, chair, bookshelf, trash bin", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4079.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4079.json new file mode 100644 index 0000000000000000000000000000000000000000..8e7770ca0a38f95b9576169d49750beb79fe3ab7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4079.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4079, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, bookshelf, nightstand, table?", + "options": [ + "A. chair, table, nightstand, bookshelf", + "B. table, bookshelf, chair, nightstand", + "C. nightstand, chair, table, bookshelf", + "D. chair, bookshelf, nightstand, table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4324.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4324.json new file mode 100644 index 0000000000000000000000000000000000000000..4f6d7d3f06b9b2eb76b39015eefaa5217b9c5d62 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4324.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4324, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the nightstand, is the mirror to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. back", + "C. left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4325.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4325.json new file mode 100644 index 0000000000000000000000000000000000000000..cc0236b68f96cb5d19f10e1204a911a2966fc6c4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4325.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4325, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the mirror, is the nightstand to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. right", + "C. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4326.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4326.json new file mode 100644 index 0000000000000000000000000000000000000000..8cd894a1fe43ad9a92c96e43d0b40d823145931b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4326.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4326, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the nightstand and facing the window, is the mirror to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4526.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4526.json new file mode 100644 index 0000000000000000000000000000000000000000..8e3a6c4f2dcf203fa9f5405eb0a328f1b7272b2b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4526.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4526, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4527.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4527.json new file mode 100644 index 0000000000000000000000000000000000000000..fa2727c809053805a16daf65a34795d68f4f70a5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4527.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4527, + "question_type": "object_counting", + "question": "How many backpack(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4528.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4528.json new file mode 100644 index 0000000000000000000000000000000000000000..e59a0f178fc4d18e081632ba5cf0843ac93825a7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4528.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4528, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4825.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4825.json new file mode 100644 index 0000000000000000000000000000000000000000..051477f376539359389c95c940e45555f5b906cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4825.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4825, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the lamp and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "answer_given": "1.71", + "answer_raw": "1.71", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances 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"2.1", + "answer_given": "2.43", + "answer_raw": "2.43", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4827.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4827.json new file mode 100644 index 0000000000000000000000000000000000000000..d5bddf98df681b76d24346ca87f4680c224b3f0a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4827.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4827, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the trash bin (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "0.31", + "answer_raw": "0.31", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4828.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4828.json new file mode 100644 index 0000000000000000000000000000000000000000..6dae3911cde1560b99cc5b558738d2e1a15e5806 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4828.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4828, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the mirror and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.9", + "answer_given": "1.13", + "answer_raw": "1.13", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4829.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4829.json new file mode 100644 index 0000000000000000000000000000000000000000..d2b6ef30157234e2d24bcf5fb5f60d2589dd0476 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4829.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4829, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the bookshelf and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.7", + "answer_given": "1.73", + "answer_raw": "1.73", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4830.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4830.json new file mode 100644 index 0000000000000000000000000000000000000000..381e0e4166b2e9fba061beac22a469010f8c95b0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/4830.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 4830, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the nightstand and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "answer_given": "1.59", + "answer_raw": "1.59", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances 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+ "answer_given": "0.54", + "answer_raw": "0.54", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/5068.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/5068.json new file mode 100644 index 0000000000000000000000000000000000000000..6e15eaf762abc18a02647f66ac16e5e5e54feb56 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/5068.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0580_01", + "dataset": "scannet", + "question_id": 5068, + "question_type": "route_planning", + "question": "You are a robot beginning at the door and facing the lamp. You want to navigate to the bookshelf. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the wall 3. [please fill in] 4. Go forward until the bookshelf. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Right", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Back, Turn Left" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..233b12b3d06b116fd440193aa21c2dcf66114bb6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0580_01/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0580_01", + "aggregate": { + "overall": 37.53968253968254, + "object_counting_MRA:.5:.95:.05": 40.0, + "object_abs_distance_MRA:.5:.95:.05": 71.42857142857143, + "object_size_estimation_MRA:.5:.95:.05": 38.888888888888886, + 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0000000000000000000000000000000000000000..3080e3f3e80141c87d8c53f3ce0d6ee5fd51d101 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3121.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3121, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, trash bin, printer, sofa) is the closest to the fan?", + "options": [ + "A. window", + "B. trash bin", + "C. printer", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3122.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3122.json new file mode 100644 index 0000000000000000000000000000000000000000..6836c1bc3ed2365a0528b6018c4d18936de38ca7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3122.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3122, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, fan, sofa) is the closest to the door?", + "options": [ + "A. table", + "B. window", + "C. fan", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3123.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3123.json new file mode 100644 index 0000000000000000000000000000000000000000..c8867b7b935f7ceb780d6b7f3cab0b8027bfaaa8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3123.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3123, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (fan, backpack, window, trash bin) is the closest to the table?", + "options": [ + "A. fan", + "B. backpack", + "C. window", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3124.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3124.json new file mode 100644 index 0000000000000000000000000000000000000000..e5b972d49728533eb5ec5dd357cc387a168783dd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3124.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3124, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, sofa, backpack, table) is the closest to the printer?", + "options": [ + "A. trash bin", + "B. sofa", + "C. backpack", + "D. table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3125.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3125.json new file mode 100644 index 0000000000000000000000000000000000000000..0ceca347874c7b14a4c86528a6eb976dabaff6d8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3125.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3125, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, printer, window, door) is the closest to the sofa?", + "options": [ + "A. trash bin", + "B. printer", + "C. window", + "D. door" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3126.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3126.json new file mode 100644 index 0000000000000000000000000000000000000000..6de5750de81ba031bd8c089aef4c334603e06614 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3126.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3126, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, printer, table, door) is the closest to the backpack?", + "options": [ + "A. trash bin", + "B. printer", + "C. table", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3127.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3127.json new file mode 100644 index 0000000000000000000000000000000000000000..b2d82f1bd64e4944d0775c91381ddfbc1ab1e0ca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3127.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3127, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, sofa, backpack, window) is the closest to the fan?", + "options": [ + "A. printer", + "B. sofa", + "C. backpack", + "D. window" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3128.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3128.json new file mode 100644 index 0000000000000000000000000000000000000000..977aa60c0e30d9f1f4ae078a37a2f4e158cff99c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3128.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3128, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, window, table, trash bin) is the closest to the printer?", + "options": [ + "A. sofa", + "B. window", + "C. table", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3129.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3129.json new file mode 100644 index 0000000000000000000000000000000000000000..13db61d0a9d0ba882ecbd52c9e13319067c6ad94 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3129.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3129, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, backpack, fan, door) is the closest to the printer?", + "options": [ + "A. table", + "B. backpack", + "C. fan", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3130.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3130.json new file mode 100644 index 0000000000000000000000000000000000000000..cebe2705d1d1c9759780ae214a6cf9edef9b292e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3130.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3130, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, backpack, door) is the closest to the fan?", + "options": [ + "A. table", + "B. window", + "C. backpack", + "D. door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3131.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3131.json new file mode 100644 index 0000000000000000000000000000000000000000..69a4f605a6039d503270672087ef7bcc5d5735ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3131.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3131, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, window, table, sofa) is the closest to the fan?", + "options": [ + "A. printer", + "B. window", + "C. table", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3439.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3439.json new file mode 100644 index 0000000000000000000000000000000000000000..bd07d47d88da3848a08de44b2c29fdf1e65e1ccc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3439.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3439, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the sofa, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "182", + "answer_given": "143.0", + "answer_raw": "143.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3440.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3440.json new file mode 100644 index 0000000000000000000000000000000000000000..89cd81a38f5386a6b9fa7011784018a24a9d2216 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3440.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3440, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the printer, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "54", + "answer_given": "99.0", + "answer_raw": "99.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3441.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3441.json new file mode 100644 index 0000000000000000000000000000000000000000..dafa9345698141763f2e79340c7101cdb9ffb5b8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3441.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3441, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the backpack, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "54", + "answer_given": "40.0", + "answer_raw": "40.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3442.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3442.json new file mode 100644 index 0000000000000000000000000000000000000000..03ede1f9b74ca06968de3d9144e9310a33a79204 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3442.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3442, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the fan, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "124", + "answer_given": "54.0", + "answer_raw": "54.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3443.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3443.json new file mode 100644 index 0000000000000000000000000000000000000000..660c35b30f32da30246919c1e5f8aa8603468424 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3443.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3443, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "152", + "answer_given": "136.0", + "answer_raw": "136.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3444.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3444.json new file mode 100644 index 0000000000000000000000000000000000000000..3bf56478a40af8a2cbd75402973be2671b16a96e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3444.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3444, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "108", + "answer_given": "138.0", + "answer_raw": "138.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3651.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3651.json new file mode 100644 index 0000000000000000000000000000000000000000..15b457b4852cdcf5b4fac4e7fc09f459a55b21cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3651.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3651, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the fan, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3652.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3652.json new file mode 100644 index 0000000000000000000000000000000000000000..116ed52b63a9ef314d2ecdbb731fd6b96e0e6ed1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3652.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3652, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the door, is the fan to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-right", + "C. front-left", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3653.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3653.json new file mode 100644 index 0000000000000000000000000000000000000000..b366a1640a47d6b31cc9a148baaddc61b1cbcfbd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3653.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3653, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the fan and facing the backpack, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-right", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3654.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3654.json new file mode 100644 index 0000000000000000000000000000000000000000..0d7afe4304b5499ac8d299f3c3c3508be4c9289b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3654.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3654, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the printer and facing the door, is the table to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-left", + "C. back-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3655.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3655.json new file mode 100644 index 0000000000000000000000000000000000000000..e111be7a9c3fa666dab3514a1eed913049f166ce --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3655.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3655, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the printer and facing the table, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-left", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3740.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3740.json new file mode 100644 index 0000000000000000000000000000000000000000..efeee0ae40cd3910e799e4e356c570b25d719483 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3740.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3740, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the printer and facing the backpack, is the table to the left or the right of the backpack?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3741.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3741.json new file mode 100644 index 0000000000000000000000000000000000000000..349bc899147868898632606dd1bdd67aa0fa6e2d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3741.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3741, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the printer and facing the table, is the backpack to the left or the right of the table?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3742.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3742.json new file mode 100644 index 0000000000000000000000000000000000000000..3a58dc8eea0e15adfb7d6adeb24de09ec4eb7f0e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3742.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3742, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the backpack and facing the printer, is the table to the left or the right of the printer?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3821.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3821.json new file mode 100644 index 0000000000000000000000000000000000000000..622d9535c740254689f8f10bbd6fb92044e55451 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/3821.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 3821, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "20.7", + "answer_given": "8.3", + "answer_raw": "8.3", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4110.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4110.json new file mode 100644 index 0000000000000000000000000000000000000000..08d74a171cd7aa64b6dc76b93750596b7fb57077 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4110.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4110, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, backpack, table, trash bin?", + "options": [ + "A. fan, backpack, table, trash bin", + "B. table, fan, backpack, trash bin", + "C. backpack, trash bin, fan, table", + "D. table, backpack, fan, trash bin" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "fan": 10, + "backpack": 12, + "table": 7, + "trash bin": 5 + }, + "true_order_per_spatial_code": "trash bin, table, fan, backpack", + "ground_truth_option_text": "backpack, trash bin, fan, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4111.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4111.json new file mode 100644 index 0000000000000000000000000000000000000000..14eaa15935ecc45e4497ffd30d8d7c3b40866f5b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4111.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4111, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, trash bin, table, backpack?", + "options": [ + "A. backpack, trash bin, printer, table", + "B. printer, trash bin, table, backpack", + "C. table, printer, backpack, trash bin", + "D. printer, table, trash bin, backpack" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "printer": 3, + "trash bin": 5, + "table": 7, + "backpack": 12 + }, + "true_order_per_spatial_code": "printer, trash bin, table, backpack", + "ground_truth_option_text": "backpack, trash bin, printer, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4112.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4112.json new file mode 100644 index 0000000000000000000000000000000000000000..495c509f692a7748645fb1438fa5fe0e174b8f3c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4112.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4112, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, door, table, trash bin?", + "options": [ + "A. backpack, table, trash bin, door", + "B. trash bin, table, door, backpack", + "C. backpack, door, table, trash bin", + "D. backpack, trash bin, door, table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "backpack": 12, + "door": 4, + "table": 7, + "trash bin": 5 + }, + "true_order_per_spatial_code": "door, trash bin, table, backpack", + "ground_truth_option_text": "backpack, trash bin, door, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4113.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4113.json new file mode 100644 index 0000000000000000000000000000000000000000..852f6119681b98e179924eeab91d89ee431156a8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4113.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4113, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, table, window, sofa?", + "options": [ + "A. table, printer, window, sofa", + "B. table, window, sofa, printer", + "C. printer, table, window, sofa", + "D. sofa, window, printer, table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4114.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4114.json new file mode 100644 index 0000000000000000000000000000000000000000..cc3486e46f0de92cfde26577475a7a01b235d21d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4114.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4114, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, trash bin, sofa, table?", + "options": [ + "A. sofa, trash bin, printer, table", + "B. trash bin, printer, sofa, table", + "C. printer, trash bin, sofa, table", + "D. sofa, trash bin, table, printer" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4115.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4115.json new file mode 100644 index 0000000000000000000000000000000000000000..b502b1c7ee4fd8731cd3242080357131717b6e6f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4115.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4115, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, table, sofa, window?", + "options": [ + "A. sofa, fan, table, window", + "B. table, window, fan, sofa", + "C. sofa, window, fan, table", + "D. fan, table, sofa, window" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4116.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4116.json new file mode 100644 index 0000000000000000000000000000000000000000..d175e9831501c8e0387d06e2add6ad6226c5df38 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4116.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4116, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, trash bin, fan, sofa?", + "options": [ + "A. table, trash bin, fan, sofa", + "B. sofa, trash bin, fan, table", + "C. fan, table, trash bin, sofa", + "D. table, trash bin, sofa, fan" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4117.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4117.json new file mode 100644 index 0000000000000000000000000000000000000000..31dd7c33999248b98d69ee216318ee654524ad09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4117.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4117, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, table, window, backpack?", + "options": [ + "A. fan, table, backpack, window", + "B. fan, table, window, backpack", + "C. backpack, window, fan, table", + "D. table, window, fan, backpack" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "fan": 10, + "table": 7, + "window": 1, + "backpack": 12 + }, + "true_order_per_spatial_code": "window, table, fan, backpack", + "ground_truth_option_text": "backpack, window, fan, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4118.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4118.json new file mode 100644 index 0000000000000000000000000000000000000000..b11d535eec55226925da69c0892c57fcbc83717a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4118.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4118, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, window, sofa?", + "options": [ + "A. sofa, window, door, table", + "B. window, table, door, sofa", + "C. table, door, window, sofa", + "D. sofa, table, door, window" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4119.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4119.json new file mode 100644 index 0000000000000000000000000000000000000000..7769af184553232bff62d9f2724c36912d3b3c48 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4119.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4119, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, backpack, door, table?", + "options": [ + "A. door, table, backpack, window", + "B. backpack, window, door, table", + "C. window, backpack, door, table", + "D. backpack, window, table, door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 1, + "backpack": 12, + "door": 4, + "table": 7 + }, + "true_order_per_spatial_code": "window, door, table, backpack", + "ground_truth_option_text": "backpack, window, door, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4120.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4120.json new file mode 100644 index 0000000000000000000000000000000000000000..6be3c3c43dba6c2cc78245ce056b339d9ea34349 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4120.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4120, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, trash bin, sofa, door?", + "options": [ + "A. trash bin, table, sofa, door", + "B. table, trash bin, sofa, door", + "C. trash bin, door, sofa, table", + "D. sofa, trash bin, door, table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4121.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4121.json new file mode 100644 index 0000000000000000000000000000000000000000..b538997d578a53645bbd9da00a64689559d651dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4121.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4121, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, window, backpack, printer?", + "options": [ + "A. table, printer, backpack, window", + "B. table, window, backpack, printer", + "C. backpack, window, printer, table", + "D. backpack, printer, table, window" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 7, + "window": 1, + "backpack": 12, + "printer": 3 + }, + "true_order_per_spatial_code": "window, printer, table, backpack", + "ground_truth_option_text": "backpack, window, printer, table", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4330.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4330.json new file mode 100644 index 0000000000000000000000000000000000000000..aa40f71dd102fa387816a7af4cce6ec1fcc6051a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4330.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4330, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack and facing the fan, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. back", + "C. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4331.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4331.json new file mode 100644 index 0000000000000000000000000000000000000000..5217f2a4ea698fd71ffd20208d6b5cc7d10bc2c5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4331.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4331, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack and facing the door, is the fan to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4332.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4332.json new file mode 100644 index 0000000000000000000000000000000000000000..0d31e3bc893349bb26a2c497a502a52c2e555057 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4332.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4332, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the backpack, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4333.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4333.json new file mode 100644 index 0000000000000000000000000000000000000000..2d0be8336c312e0b9690de8ed6cd3e70d606a565 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4333.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4333, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the door, is the table to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. right", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4334.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4334.json new file mode 100644 index 0000000000000000000000000000000000000000..d1657113441418367744670be32d6c85b73150dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4334.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4334, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the table, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. right", + "C. left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4335.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4335.json new file mode 100644 index 0000000000000000000000000000000000000000..e3a4354e96a61bbf437cb6bfcad4196c6da42c0d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4335.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4335, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the fan, is the table to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. right", + "C. left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4536.json new file mode 100644 index 0000000000000000000000000000000000000000..4b25ed96930c3adce00b4333f6f11ad1979b1021 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4536.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4536, + "question_type": "object_counting", + "question": "How many window(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "4", + "answer_raw": "4", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4537.json new file mode 100644 index 0000000000000000000000000000000000000000..08998cea1aff15c5341f774cd7c7fdc6572b3402 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4537.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4537, + "question_type": "object_counting", + "question": "How many trash bin(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4839.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4839.json new file mode 100644 index 0000000000000000000000000000000000000000..a1ed826b69498abf677b19d9811ee461ed2f1296 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4839.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4839, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.6", + "answer_given": "2.72", + "answer_raw": "2.72", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4840.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4840.json new file mode 100644 index 0000000000000000000000000000000000000000..6dd9f187326929f65d8368569954624a8ebfdc87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4840.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4840, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the fan (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.4", + "answer_given": "2.48", + "answer_raw": "2.48", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4841.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4841.json new file mode 100644 index 0000000000000000000000000000000000000000..87f9206058db846b660599e89522e2ce19a1b661 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4841.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4841, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the fan and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.5", + "answer_given": "2.61", + "answer_raw": "2.61", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4842.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4842.json new file mode 100644 index 0000000000000000000000000000000000000000..26ce1a8102332243089ac36550a3a7962002500f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4842.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4842, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the printer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.3", + "answer_given": "2.77", + "answer_raw": "2.77", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4843.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4843.json new file mode 100644 index 0000000000000000000000000000000000000000..0ab22ed743f39fc6aeb374f5fbd1d7cbfcdfb8c3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4843.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4843, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the printer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.4", + "answer_given": "2.79", + "answer_raw": "2.79", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4844.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4844.json new file mode 100644 index 0000000000000000000000000000000000000000..badc2df50980e1cc4454b4d34e203b7d6e4f8a61 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4844.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4844, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the printer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "3.55", + "answer_raw": "3.55", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4845.json new file mode 100644 index 0000000000000000000000000000000000000000..6affc22a1b50c0f1312b41e8ef7c363ebb128040 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/4845.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4845, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the fan (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.4", + "answer_given": "3.59", + "answer_raw": "3.59", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/5033.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/5033.json new file mode 100644 index 0000000000000000000000000000000000000000..d571f39cb1c8383aa41a9411a0e633a7550a92cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/5033.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 5033, + "question_type": "route_planning", + "question": "You are a robot beginning at the sofa and facing the wall behind the sofa. You want to navigate to the printer. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the paper disposal bin. 3. [please fill in] 4. Go forward until the electric fan. 5. [please fill in] 6. Go forward until the printer. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right, Turn Right", + "B. Turn Left, Turn Left, Turn Left", + "C. Turn Left, Turn Right, Turn Left", + "D. Turn Back, Turn Right, Turn Right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..a038de368cb0d18534e48af5cf90347b0cb746f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0593_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0593_00", + "aggregate": { + "overall": 30.96590909090909, + "object_counting_MRA:.5:.95:.05": 5.0, + "object_abs_distance_MRA:.5:.95:.05": 80.0, + "object_size_estimation_MRA:.5:.95:.05": 40.00000000000001, + 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0000000000000000000000000000000000000000..b4ba0cc477fe810cfa3dcef9e6017562dae195a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3010.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3010, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, sofa, table, backpack) is the closest to the chair?", + "options": [ + "A. tv", + "B. sofa", + "C. table", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3011.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3011.json new file mode 100644 index 0000000000000000000000000000000000000000..759e56536c550167227b410dfa45332894bc7ccc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3011.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3011, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, backpack, tv, table) is the closest to the chair?", + "options": [ + "A. door", + "B. backpack", + "C. tv", + "D. table" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3012.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3012.json new file mode 100644 index 0000000000000000000000000000000000000000..61d712dde390217c67cdfbd9de48fec559909213 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3012.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3012, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, chair, table, door) is the closest to the tv?", + "options": [ + "A. sofa", + "B. chair", + "C. table", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3013.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3013.json new file mode 100644 index 0000000000000000000000000000000000000000..af6a57ca174978b34fe8c240413da59fec2aac08 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3013.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3013, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, sofa, backpack, door) is the closest to the tv?", + "options": [ + "A. table", + "B. sofa", + "C. backpack", + "D. door" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3014.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3014.json new file mode 100644 index 0000000000000000000000000000000000000000..c1f5df28a8afce95ea6f16062e40b2779828ac5c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3014.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3014, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, chair, backpack, table) is the closest to the tv?", + "options": [ + "A. sofa", + "B. chair", + "C. backpack", + "D. table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3015.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3015.json new file mode 100644 index 0000000000000000000000000000000000000000..eb1437747625261f4d9489d790beae270f4edd57 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3015.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3015, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, backpack, chair, sofa) is the closest to the tv?", + "options": [ + "A. door", + "B. backpack", + "C. chair", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3016.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3016.json new file mode 100644 index 0000000000000000000000000000000000000000..400858d05945827fc17c6dfcebe5a7a7639b40c0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3016.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3016, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, table, chair, backpack) is the closest to the tv?", + "options": [ + "A. door", + "B. table", + "C. chair", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3017.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3017.json new file mode 100644 index 0000000000000000000000000000000000000000..a90656f299dc8ff8a0f37e7f797d69e2bb94e3e5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3017.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3017, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, door, chair, table) is the closest to the backpack?", + "options": [ + "A. tv", + "B. door", + "C. chair", + "D. table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3290.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3290.json new file mode 100644 index 0000000000000000000000000000000000000000..cdea9675f78bafb55d17990465445f6f9bb9f37d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3290.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3290, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the chair, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "89", + "answer_given": "73.0", + "answer_raw": "73.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3291.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3291.json new file mode 100644 index 0000000000000000000000000000000000000000..143cac1a9f5bc27f9eadcd8b99e0268b52849be4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3291.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3291, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "137", + "answer_given": "124.0", + "answer_raw": "124.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3292.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3292.json new file mode 100644 index 0000000000000000000000000000000000000000..3538f15922c8bed2ad6ea18b9777d33425720476 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3292.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3292, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the backpack, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "44", + "answer_given": "42.0", + "answer_raw": "42.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3781.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3781.json new file mode 100644 index 0000000000000000000000000000000000000000..875a53309df18936650c80dd1036e299fad436cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/3781.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3781, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "31.1", + "answer_given": "17.6", + "answer_raw": "17.6", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4435.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4435.json new file mode 100644 index 0000000000000000000000000000000000000000..c836a2a42eebb445071850d0f9fb1a29025c2f60 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4435.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4435, + "question_type": "object_counting", + "question": "How many sofa(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4436.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4436.json new file mode 100644 index 0000000000000000000000000000000000000000..24fcce46d37b764a8c321d2ff772d1f15c96b538 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4436.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4436, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4437.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4437.json new file mode 100644 index 0000000000000000000000000000000000000000..1ef581db22c46a089f413ffe3e885bce17c37e34 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4437.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4437, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "4", + "answer_raw": "4", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4701.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4701.json new file mode 100644 index 0000000000000000000000000000000000000000..03d0a6a6610bfe04ee3e1913b50ab22332e57f64 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4701.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4701, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.3", + "answer_given": "3.55", + "answer_raw": "3.55", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4702.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4702.json new file mode 100644 index 0000000000000000000000000000000000000000..2d947acfbfbb6949515e7afc5e45c0f8ac45f11f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4702.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4702, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the tv (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.3", + "answer_given": "4.57", + "answer_raw": "4.57", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4988.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4988.json new file mode 100644 index 0000000000000000000000000000000000000000..bfc896a0ed980c8006188b63848ccb2ce5535315 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/4988.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4988, + "question_type": "route_planning", + "question": "You are a robot beginning at the TV facing the drawing. You want to navigate to the table with two orange chair. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. Go forward until the drawing 2. [please fill in] 3. Go forward until the desired chair. You have reached the final destination.", + "options": [ + "A. Turn Back", + "B. Turn Left", + "C. Turn Right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce1575ae169d54212f6fd34ca6245945239eb0e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0647_00/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0647_00", + "aggregate": { + "overall": 50.69444444444445, + "object_counting_MRA:.5:.95:.05": 20.000000000000004, + "object_abs_distance_MRA:.5:.95:.05": 90.0, + "object_size_estimation_MRA:.5:.95:.05": 86.66666666666667, + "room_size_estimation_MRA:.5:.95:.05": 20.0, + "object_rel_distance_accuracy": 87.5, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, route_planning_accuracy", + "tabulated_results": "50.694, 20.000, 90.000, 86.667, 20.000, 87.500, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3018.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3018.json new file mode 100644 index 0000000000000000000000000000000000000000..da4ab04bdb90e0289400bb8dfe3c58cd40c10a1a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3018.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3018, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, pillow, table, chair) is the closest to the bookshelf?", + "options": [ + "A. window", + "B. pillow", + "C. table", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3019.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3019.json new file mode 100644 index 0000000000000000000000000000000000000000..e654053a7489b68a0a8c6697b67ca50ede8504cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3019.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3019, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (plant, window, fan, backpack) is the closest to the closet?", + "options": [ + "A. plant", + "B. window", + "C. fan", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3020.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3020.json new file mode 100644 index 0000000000000000000000000000000000000000..6393b0b0a1b979a87bdd1be5c413c3fb39daf0fe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3020.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3020, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bookshelf, closet, plant, chair) is the closest to the fan?", + "options": [ + "A. bookshelf", + "B. closet", + "C. plant", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3293.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3293.json new file mode 100644 index 0000000000000000000000000000000000000000..7f149eefa8a2921660aa916c137f43a45c05bb96 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3293.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3293, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the window, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "137", + "answer_given": "90.0", + "answer_raw": "90.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3294.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3294.json new file mode 100644 index 0000000000000000000000000000000000000000..d84f169aaac929fc4baa7c46bc7cd2bfe84368c8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3294.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3294, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bookshelf, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "114", + "answer_given": "89.0", + "answer_raw": "89.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3295.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3295.json new file mode 100644 index 0000000000000000000000000000000000000000..5d99f6119ce50afae286c013dca156f80ef82bde --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3295.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3295, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the lamp, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "53", + "answer_given": "40.0", + "answer_raw": "40.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3296.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3296.json new file mode 100644 index 0000000000000000000000000000000000000000..f67d123a41d5bc4d6cd13545c93bf603f19edec2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3296.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3296, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the closet, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "217", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3297.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3297.json new file mode 100644 index 0000000000000000000000000000000000000000..243b571c84bd4963c71011bd52df2128dece38a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3297.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3297, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the fan, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "116", + "answer_given": "58.0", + "answer_raw": "58.0", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3298.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3298.json new file mode 100644 index 0000000000000000000000000000000000000000..e796f2d667bcfd774c0f168bd62e446bc66ce474 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3298.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3298, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "81", + "answer_given": "71.0", + "answer_raw": "71.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3719.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3719.json new file mode 100644 index 0000000000000000000000000000000000000000..a4f3c53a2877f9445697cb98875e87f2a19b306c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3719.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3719, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the bookshelf and facing the lamp, is the fan to the left or the right of the lamp?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3720.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3720.json new file mode 100644 index 0000000000000000000000000000000000000000..72647dfcf8e92eb41ed510bb2dc07fce5a05b1cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3720.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3720, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the bookshelf and facing the fan, is the lamp to the left or the right of the fan?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3721.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3721.json new file mode 100644 index 0000000000000000000000000000000000000000..614c459ebc5623f4f98fd26fa800a66a2056e7e4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3721.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3721, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the lamp and facing the bookshelf, is the fan to the left or the right of the bookshelf?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3782.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3782.json new file mode 100644 index 0000000000000000000000000000000000000000..4bfbdea0f0c757642d1e41574965f830b2725ac9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3782.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3782, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "11.2", + "answer_given": "7.6", + "answer_raw": "7.6", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3968.json new file mode 100644 index 0000000000000000000000000000000000000000..4448ee6f286b3fc1feea0a0624d3cade1bd2c182 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3968.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3968, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, bookshelf, fan, pillow?", + "options": [ + "A. pillow, fan, door, bookshelf", + "B. fan, pillow, bookshelf, door", + "C. door, bookshelf, pillow, fan", + "D. door, bookshelf, fan, pillow" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3969.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3969.json new file mode 100644 index 0000000000000000000000000000000000000000..60241c66b53353635f0ae8da16a735a1ee840fd4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3969.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3969, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, door, bookshelf, fan?", + "options": [ + "A. chair, fan, door, bookshelf", + "B. chair, door, bookshelf, fan", + "C. chair, bookshelf, fan, door", + "D. door, bookshelf, fan, chair" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3970.json new file mode 100644 index 0000000000000000000000000000000000000000..ef22bd8f1fe85e9e00202da2a900ed02a8da0d7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3970.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3970, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, door, bookshelf, fan?", + "options": [ + "A. lamp, fan, bookshelf, door", + "B. lamp, bookshelf, door, fan", + "C. lamp, door, bookshelf, fan", + "D. lamp, fan, door, bookshelf" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "lamp": 9, + "door": 7, + "bookshelf": 16, + "fan": 14 + }, + "true_order_per_spatial_code": "door, lamp, fan, bookshelf", + "ground_truth_option_text": "lamp, fan, door, bookshelf", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3971.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3971.json new file mode 100644 index 0000000000000000000000000000000000000000..47328aab647428ee56f0821893f5715a62abd777 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3971.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3971, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, bookshelf, fan?", + "options": [ + "A. table, door, bookshelf, fan", + "B. fan, door, bookshelf, table", + "C. table, fan, door, bookshelf", + "D. bookshelf, fan, door, table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 1, + "door": 7, + "bookshelf": 16, + "fan": 14 + }, + "true_order_per_spatial_code": "table, door, fan, bookshelf", + "ground_truth_option_text": "table, fan, door, bookshelf", + "matches_ground_truth": false, + "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3972.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3972.json new file mode 100644 index 0000000000000000000000000000000000000000..7eb8e270d66bda617dcf3846b31a885eb2315c0a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/3972.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3972, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, door, fan, bed?", + "options": [ + "A. door, fan, bookshelf, bed", + "B. bed, fan, door, bookshelf", + "C. bed, fan, bookshelf, door", + "D. bookshelf, door, fan, bed" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4278.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4278.json new file mode 100644 index 0000000000000000000000000000000000000000..684c2f29e229e6874023ed0d53a41809141a9caa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4278.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4278, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bookshelf and facing the closet, is the fan to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4279.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4279.json new file mode 100644 index 0000000000000000000000000000000000000000..10235dc80e99ad7c895f834b0f948ae6e1d08a77 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4279.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4279, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bookshelf and facing the fan, is the closet to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4280.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4280.json new file mode 100644 index 0000000000000000000000000000000000000000..d4641bbfdfd4792f490ff00f505c81de6cbbcf9c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4280.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4280, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the closet and facing the bookshelf, is the fan to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. right", + "C. back" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4438.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4438.json new file mode 100644 index 0000000000000000000000000000000000000000..7915ac84a8e0d4415feabf1b9c93107656bad165 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4438.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4438, + "question_type": "object_counting", + "question": "How many bed(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "4", + "answer_raw": "4", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4439.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4439.json new file mode 100644 index 0000000000000000000000000000000000000000..7338b2717c9ac3e3b89b48da7da038ae7fb7378e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4439.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4439, + 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"answer_expected": "2.7", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4705.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4705.json new file mode 100644 index 0000000000000000000000000000000000000000..6ccc67cbc1544d3de1901a67b9b25f028d74b839 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/4705.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 4705, + "question_type": 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/5039.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/5039.json new file mode 100644 index 0000000000000000000000000000000000000000..5cd725cfee19188808c42e68c694b93536c64a00 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/5039.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 5039, + "question_type": "route_planning", + "question": "You are a robot beginning at the desk closer to the window and facing the window. You want to navigate to the other desk. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the white storage bins 3. [please fill in] 4. Go forward until the desk. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right", + "B. Turn Left, Turn Right", + "C. Turn Right, Turn Left", + "D. Turn Back, Turn Right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..2fe82c05192744cb574ba101f4592bc1a1882a59 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0648_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0648_00", + "aggregate": { + "overall": 34.166666666666664, + "object_counting_MRA:.5:.95:.05": 31.66666666666667, + "object_abs_distance_MRA:.5:.95:.05": 33.33333333333333, + "object_size_estimation_MRA:.5:.95:.05": 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0000000000000000000000000000000000000000..3256f07ad41ce1e5f7e4e6611f4a7ed623557be7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3047.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 3047, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, keyboard, telephone, monitor) is the closest to the window?", + "options": [ + "A. door", + "B. keyboard", + "C. telephone", + "D. monitor" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3048.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3048.json new file mode 100644 index 0000000000000000000000000000000000000000..00f103dc2f4693d79aea90bfc02ea65e700a2e43 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3048.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 3048, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, trash bin, telephone, chair) is the closest to the door?", + "options": [ + "A. window", + "B. trash bin", + "C. telephone", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3049.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3049.json new file mode 100644 index 0000000000000000000000000000000000000000..4bdd5d7d7188dcd50e16a4eed2a9922d2d01f9ca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3049.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 3049, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, door, keyboard, trash bin) is the closest to the window?", + "options": [ + "A. chair", + "B. door", + "C. keyboard", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3050.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3050.json new file mode 100644 index 0000000000000000000000000000000000000000..5e4ca7fe3ddc5350eea5e3b4d078f58558830448 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3050.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 3050, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, telephone, monitor, door) is the closest to the window?", + "options": [ + "A. trash bin", + "B. telephone", + "C. monitor", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3051.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3051.json new file mode 100644 index 0000000000000000000000000000000000000000..7374cc8669da72fe4a2eda7a524a8cd195755517 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3051.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 3051, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (monitor, door, backpack, keyboard) is the closest to the window?", + "options": [ + "A. monitor", + "B. door", + "C. backpack", + "D. keyboard" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3311.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3311.json new file mode 100644 index 0000000000000000000000000000000000000000..2262dc3e9a08be1c5904975fd86969484187e10c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/3311.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4454.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4454.json new file mode 100644 index 0000000000000000000000000000000000000000..653baa888c801b5f258bbfc55ab35774cfa08700 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4454.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 4454, + "question_type": "object_counting", + "question": "How many monitor(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": 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"scene": "scene0663_00", + "dataset": "scannet", + "question_id": 4456, + "question_type": "object_counting", + "question": "How many backpack(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "3", + "answer_raw": "3", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4457.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4457.json new file mode 100644 index 0000000000000000000000000000000000000000..74c2b38a4348bfe5d2a571197070804491ffd9f7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4457.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": 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index 0000000000000000000000000000000000000000..75d28f600c1878bc79194b25f71ba08e693bf72f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0663_00/4722.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0663_00", + "dataset": "scannet", + "question_id": 4722, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.3", + "answer_given": "4.52", + "answer_raw": "4.52", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track 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"tabulated_results": "67.714, 78.571, 90.000, 20.000, 90.000, 60.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3052.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3052.json new file mode 100644 index 0000000000000000000000000000000000000000..4d6b062feb1ad154e1137a0c5c8b91a02cc13551 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3052.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3052, + "question_type": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3321.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3321, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the telephone, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "29", + "answer_given": "22.0", + "answer_raw": "22.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3322.json b/experiments/results/symbolic/metric/tracking/uniform/Select 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3323.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3323.json new file mode 100644 index 0000000000000000000000000000000000000000..6937fd5b4956ab116367ddbf1e45a62cd80c2cef --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3323.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3323, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "149", + "answer_given": "112.0", + "answer_raw": "112.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3790.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3790.json new file mode 100644 index 0000000000000000000000000000000000000000..75b3fea304ea22a6727faa84506d732b162288d4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/3790.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3790, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "6.2", + "answer_given": "5.8", + "answer_raw": "5.8", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4466.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4466.json new file mode 100644 index 0000000000000000000000000000000000000000..076b9f4e82ccacc526b906278655c328fea912d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4466.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": 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Using Track Persistence/96/scene0684_01/4726.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4726, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "answer_given": "0.58", + "answer_raw": "0.58", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4727.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4727.json new file mode 100644 index 0000000000000000000000000000000000000000..08ca083b7c2b5255311733a4838b8383bd27245a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4727.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4727, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "answer_given": "1.77", + "answer_raw": "1.77", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4728.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4728.json new file mode 100644 index 0000000000000000000000000000000000000000..ae316e3ba1d286189e198249f2f9abf51f7dcad0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4728.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4728, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the telephone (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.5", + "answer_given": "2.31", + "answer_raw": "2.31", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4729.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4729.json new file mode 100644 index 0000000000000000000000000000000000000000..d9c633ebf198b75329d9636c63964cd660be669d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/4729.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4729, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "answer_given": "1.29", + "answer_raw": "1.29", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..49d5009607aae5c1d0f5cf68a6319faa5e80e4f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0684_01/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0684_01", + "aggregate": { + "overall": 86.5, + "object_counting_MRA:.5:.95:.05": 100.0, + "object_abs_distance_MRA:.5:.95:.05": 82.5, + "object_size_estimation_MRA:.5:.95:.05": 60.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 100.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy", + "tabulated_results": "86.500, 100.000, 82.500, 60.000, 90.000, 100.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3053.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3053.json new file mode 100644 index 0000000000000000000000000000000000000000..356f7959861bb3a1deb996dcac3f8f441de660bc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3053.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3053, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, towel, mirror, trash bin) is the closest to the door?", + "options": [ + "A. window", + "B. towel", + "C. mirror", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3054.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3054.json new file mode 100644 index 0000000000000000000000000000000000000000..b75caf06f1e7c6b45c6ab24837da0681a26990cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3054.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3054, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, door, towel, mirror) is the closest to the trash bin?", + "options": [ + "A. window", + "B. door", + "C. towel", + "D. mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3327.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3327.json new file mode 100644 index 0000000000000000000000000000000000000000..daf22c570138b8581abea8e6e4d0b4e65fdc8e2a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3327.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3327, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the window, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "70", + "answer_given": "100.0", + "answer_raw": "100.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3328.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3328.json new file mode 100644 index 0000000000000000000000000000000000000000..7155403a9609e07af722e211ec71d4cb63297128 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3328.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3328, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the towel, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "77", + "answer_given": "62.0", + "answer_raw": "62.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3330.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3330.json new file mode 100644 index 0000000000000000000000000000000000000000..2b65ce7792057c21bfb08b99fee185b126c945aa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3330.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3330, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the trash bin, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "26", + "answer_given": "31.0", + "answer_raw": "31.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3610.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3610.json new file mode 100644 index 0000000000000000000000000000000000000000..dde71ce64ccb8f1b09793e75048dc6945b7a6f76 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3610.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3610, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the door, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3611.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3611.json new file mode 100644 index 0000000000000000000000000000000000000000..e1fe0bf439a759bd98c0f12eec9d10c08cf2a5a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3611.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3611, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the trash bin, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3612.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3612.json new file mode 100644 index 0000000000000000000000000000000000000000..acd7e706068ff24259db614654fd64162020a079 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3612.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3612, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the towel, is the trash bin to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-right", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3613.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3613.json new file mode 100644 index 0000000000000000000000000000000000000000..0978de79c5e5e886d4fa3ae9a31fe36607cd840d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3613.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3613, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the towel, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-left", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3614.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3614.json new file mode 100644 index 0000000000000000000000000000000000000000..61f55c164596cd42c999717500d1b9fd0093e11b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3614.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3614, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the door, is the towel to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-left", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3615.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3615.json new file mode 100644 index 0000000000000000000000000000000000000000..5247a89dfc14584f3709ea0042238dda2dcdfab8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3615.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3615, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the window, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-right", + "C. front-left", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3722.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3722.json new file mode 100644 index 0000000000000000000000000000000000000000..045bec49b4fbf31ed428f10983fe10b5a1941cc9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3722.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3722, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the door, is the trash bin to the left or the right of the door?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3723.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3723.json new file mode 100644 index 0000000000000000000000000000000000000000..bcbb40f8452800cff1d7fc41f66608460aaafbcc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3723.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3723, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the trash bin, is the door to the left or the right of the trash bin?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3724.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3724.json new file mode 100644 index 0000000000000000000000000000000000000000..722278eaef0d9a2e0c1997573df431cbde959c62 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3724.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3724, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the door and facing the window, is the trash bin to the left or the right of the window?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3793.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3793.json new file mode 100644 index 0000000000000000000000000000000000000000..e85a4a3c2b61dbba03640e22628eedbcfbd607d9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/3793.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3793, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "3.9", + "answer_given": "3.7", + "answer_raw": "3.7", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4287.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4287.json new file mode 100644 index 0000000000000000000000000000000000000000..ec283889025e001425b302e9945b8c67d2cdac3e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4287.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4287, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the towel, is the trash bin to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4288.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4288.json new file mode 100644 index 0000000000000000000000000000000000000000..834c45115e6bc7cdcd99c35e9972250255253244 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4288.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4288, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the trash bin, is the towel to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4289.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4289.json new file mode 100644 index 0000000000000000000000000000000000000000..1fbbd048f41c1ad9780d4234d98c4247f616e3d5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4289.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4289, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the towel and facing the window, is the trash bin to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4290.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4290.json new file mode 100644 index 0000000000000000000000000000000000000000..1f863c4021866e3518e63a836a90948df6ebf81b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4290.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4290, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the door, is the trash bin to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4291.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4291.json new file mode 100644 index 0000000000000000000000000000000000000000..548c68d78295e5dd987adc19a2534c473f1ac5ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4291.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4291, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the trash bin, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. back", + "C. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4292.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4292.json new file mode 100644 index 0000000000000000000000000000000000000000..11d68d15995e3a33af3049e093e36c5a7f05b113 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4292.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4292, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the window, is the trash bin to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4469.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4469.json new file mode 100644 index 0000000000000000000000000000000000000000..d209c81e5298596e3f87f7e0b10b1ccc051acb37 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4469.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4469, + "question_type": "object_counting", + "question": "How many mirror(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "2", + "answer_raw": "2", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4731.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4731.json new file mode 100644 index 0000000000000000000000000000000000000000..fd418713dc3d92cc3db79552df4669fff021f661 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4731.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4731, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the towel and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.8", + "answer_given": "0.01", + "answer_raw": "0.01", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4732.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4732.json new file mode 100644 index 0000000000000000000000000000000000000000..bee26dd75212b40567863c7cbfb07978d6706340 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4732.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4732, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.9", + "answer_given": "0.82", + "answer_raw": "0.82", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4733.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4733.json new file mode 100644 index 0000000000000000000000000000000000000000..03b3488fe4bdcf4dc7cae3822873291ef1902f98 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4733.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4733, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "0.72", + "answer_raw": "0.72", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4734.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4734.json new file mode 100644 index 0000000000000000000000000000000000000000..291ebe50e166359f206b74a1f4ac1ab71191575e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4734.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4734, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.2", + "answer_given": "0.89", + "answer_raw": "0.89", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4735.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4735.json new file mode 100644 index 0000000000000000000000000000000000000000..3645327cf25d99194c8b6471dbe7339c85c5e630 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/4735.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4735, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.0", + "answer_given": "1.04", + "answer_raw": "1.04", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/5060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/5060.json new file mode 100644 index 0000000000000000000000000000000000000000..4f8ee0c0b3c86b6feb7ae5fbd25807a3a9d66507 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/5060.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 5060, + "question_type": "route_planning", + "question": "You are a robot beginning at the bathtub and facing the bathtub. You want to navigate to the sink. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the door 3. [please fill in] 4. Go forward until the sink. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Left", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Back, Turn Right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..53b27204afe589a50675aabca216273b13da10ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0693_00/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0693_00", + "aggregate": { + "overall": 40.73015873015873, + "object_counting_MRA:.5:.95:.05": 40.0, + "object_abs_distance_MRA:.5:.95:.05": 24.0, + "object_size_estimation_MRA:.5:.95:.05": 53.333333333333336, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 0.0, + "object_rel_direction_accuracy": 77.77777777777779, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, object_rel_direction_accuracy, route_planning_accuracy", + "tabulated_results": "40.730, 40.000, 24.000, 53.333, 90.000, 0.000, 77.778, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3058.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3058.json new file mode 100644 index 0000000000000000000000000000000000000000..b50ac7074480cb82b61051cefe8f59038b0dfdae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3058.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3058, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (radiator, pillow, table, door) is the closest to the mattress?", + "options": [ + "A. radiator", + "B. pillow", + "C. table", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3059.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3059.json new file mode 100644 index 0000000000000000000000000000000000000000..91aa0709ed1d5713598864771d956adad9c4cadf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3059.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3059, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, sofa, pillow, table) is the closest to the mattress?", + "options": [ + "A. door", + "B. sofa", + "C. pillow", + "D. table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3060.json new file mode 100644 index 0000000000000000000000000000000000000000..d5503cfa89b23bacc7f805a2a085a98ede06fabf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3060.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3060, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, table, sofa, tv) is the closest to the mattress?", + "options": [ + "A. door", + "B. table", + "C. sofa", + "D. tv" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3061.json new file mode 100644 index 0000000000000000000000000000000000000000..3f2ad9244c17231107c1b5c1d75d278560dcb7b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3061.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3061, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, table, mattress, sofa) is the closest to the door?", + "options": [ + "A. tv", + "B. table", + "C. mattress", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3062.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3062.json new file mode 100644 index 0000000000000000000000000000000000000000..7c89448fc88e9ebbe1fae61a847c4da9ead70b5b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3062.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3062, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, door, mattress, table) is the closest to the radiator?", + "options": [ + "A. chair", + "B. door", + "C. mattress", + "D. table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3063.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3063.json new file mode 100644 index 0000000000000000000000000000000000000000..f78d968bd111718e84f3c81f930a42dcb975c1e1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3063.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3063, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (mattress, tv, pillow, radiator) is the closest to the door?", + "options": [ + "A. mattress", + "B. tv", + "C. pillow", + "D. radiator" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3064.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3064.json new file mode 100644 index 0000000000000000000000000000000000000000..bc19f69269a9fe587336c419884a8a24e2158922 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3064.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3064, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, table, sofa, radiator) is the closest to the door?", + "options": [ + "A. tv", + "B. table", + "C. sofa", + "D. radiator" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3341.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3341.json new file mode 100644 index 0000000000000000000000000000000000000000..3dfc7163044e8d51a17885a98b0fdfd12cb87aa8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3341.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3341, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the mattress, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "191", + "answer_given": "73.0", + "answer_raw": "73.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3342.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3342.json new file mode 100644 index 0000000000000000000000000000000000000000..94dab95186a91f46267456ddf9a2dd06ed0f830a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3342.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3342, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the sofa, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "192", + "answer_given": "165.0", + "answer_raw": "165.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3343.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3343.json new file mode 100644 index 0000000000000000000000000000000000000000..574004bd6c2368c2c7c3b4ee3640bee80330a2ba --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3343.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3343, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the radiator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "172", + "answer_given": "102.0", + "answer_raw": "102.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3344.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3344.json new file mode 100644 index 0000000000000000000000000000000000000000..fee06f05666b421edab992f5c00289d2775fe8f2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3344.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3344, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "202", + "answer_given": "125.0", + "answer_raw": "125.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3345.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3345.json new file mode 100644 index 0000000000000000000000000000000000000000..bc8d233ecd06214c4bcc49601c162cd102e1582e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3345.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3345, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "280", + "answer_given": "200.0", + "answer_raw": "200.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3795.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/3795.json new file mode 100644 index 0000000000000000000000000000000000000000..6aadf491cef4cc16b78b48eb254b258a24a06ecb --- 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4471.json new file mode 100644 index 0000000000000000000000000000000000000000..6e82be490a69ee0e672358becc8e213f63f9d2ff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4471.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4471, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "10", + "answer_given": "15", + "answer_raw": "15", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4472.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4472.json new file mode 100644 index 0000000000000000000000000000000000000000..9abcff9b0ce05b439f512f539fd4c284ddf792e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4472.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4472, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4473.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4473.json new file mode 100644 index 0000000000000000000000000000000000000000..320cf519c5c0450cb557b89afd47fb51de817cb3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4473.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4473, + "question_type": "object_counting", + "question": "How many tv(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4743.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4743.json new file mode 100644 index 0000000000000000000000000000000000000000..f847cad1f16f4720ca22c493c27d3995b75bc6ca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4743.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4743, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the sofa and the mattress (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "3.38", + "answer_raw": "3.38", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4744.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4744.json new file mode 100644 index 0000000000000000000000000000000000000000..17d0780fabd35e7ec4903e885605ed2c5c5452fe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4744.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4744, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the mattress (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.2", + "answer_given": "3.72", + "answer_raw": "3.72", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4745.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4745.json new file mode 100644 index 0000000000000000000000000000000000000000..6492808b203cb1eb3e7b3ac68b7a6cd528b05d4c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4745.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4745, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.2", + "answer_given": "2.49", + "answer_raw": "2.49", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track 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"answer_given": "2.73", + "answer_raw": "2.73", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4747.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4747.json new file mode 100644 index 0000000000000000000000000000000000000000..30ffeb7cf8954ca43d2f3735a6f4579497134302 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4747.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4747, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the radiator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "answer_given": "1.33", + "answer_raw": "1.33", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4748.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4748.json new file mode 100644 index 0000000000000000000000000000000000000000..85c820e8d85deb7e886234539f38878e19d97c66 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4748.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4748, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.4", + "answer_given": "0.95", + "answer_raw": "0.95", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4984.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4984.json new file mode 100644 index 0000000000000000000000000000000000000000..250a342479906044d341594cc9ea405823d1ef59 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/4984.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4984, + "question_type": "route_planning", + "question": "You are a robot beginning at the microwave and facing the table. You want to navigate to the sofa. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the sofa. You have reached the final destination.", + "options": [ + "A. Turn Left", + "B. Turn Right", + "C. Turn Back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..05401f8df8335c9456dccc9adf87a8237a9f418b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0696_01/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0696_01", + "aggregate": { + "overall": 42.86507936507937, + "object_counting_MRA:.5:.95:.05": 40.0, + "object_abs_distance_MRA:.5:.95:.05": 48.333333333333336, + "object_size_estimation_MRA:.5:.95:.05": 36.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 42.857142857142854, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, route_planning_accuracy", + "tabulated_results": "42.865, 40.000, 48.333, 36.000, 90.000, 42.857, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3081.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3081.json new file mode 100644 index 0000000000000000000000000000000000000000..786909e66f5d00cddb1e3025a99e37eecd75f379 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3081.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3081, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, chair, table, closet) is the closest to the nightstand?", + "options": [ + "A. window", + "B. chair", + "C. table", + "D. closet" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3082.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3082.json new file mode 100644 index 0000000000000000000000000000000000000000..545cfea855af35e3ee0b7c064247049569594e95 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3082.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3082, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (nightstand, backpack, bed, door) is the closest to the closet?", + "options": [ + "A. nightstand", + "B. backpack", + "C. bed", + "D. door" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3083.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3083.json new file mode 100644 index 0000000000000000000000000000000000000000..c4dc85bff5fec5ccb7d3a3e211d6ad5ff1efefbb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3083.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3083, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (backpack, window, chair, pillow) is the closest to the closet?", + "options": [ + "A. backpack", + "B. window", + "C. chair", + "D. pillow" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3084.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3084.json new file mode 100644 index 0000000000000000000000000000000000000000..9e0fa07a4efb96c4253cb3f45368ec15f49c6c1d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3084.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3084, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, pillow, backpack) is the closest to the closet?", + "options": [ + "A. table", + "B. window", + "C. pillow", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3351.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3351.json new file mode 100644 index 0000000000000000000000000000000000000000..d775dc1ab815e39c02eac1312aa5976414cb2136 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3351.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3351, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bed, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "186", + "answer_given": "138.0", + "answer_raw": "138.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3352.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3352.json new file mode 100644 index 0000000000000000000000000000000000000000..ea3e11d12867d33cff4d6d209c2f03f6b889d6ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3352.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3352, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the chair, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "77", + "answer_given": "57.0", + "answer_raw": "57.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3353.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3353.json new file mode 100644 index 0000000000000000000000000000000000000000..7cfdc4c6aabf7a4b1f5c027c49fb8b6f2b7e975c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3353.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3353, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the nightstand, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "80", + "answer_given": "70.0", + "answer_raw": "70.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3354.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3354.json new file mode 100644 index 0000000000000000000000000000000000000000..d12f2da55bea3b7b408baf78ccfbe2a0d802adc2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3354.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3354, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the closet, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "184", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3355.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3355.json new file mode 100644 index 0000000000000000000000000000000000000000..3ecdebc6b21ea7652d9f9b3b9fd2b239b21d6430 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3355.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3355, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "136", + "answer_given": "114.0", + "answer_raw": "114.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3621.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3621.json new file mode 100644 index 0000000000000000000000000000000000000000..bef4ee602dadc04b6391f5835a90069b0f8e1955 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3621.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3621, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the closet, is the table to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-right", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3622.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3622.json new file mode 100644 index 0000000000000000000000000000000000000000..ab9b5eb7666ebda03e952a75eb6227ebaf891647 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3622.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3622, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the table, is the closet to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-right", + "C. back-left", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3623.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3623.json new file mode 100644 index 0000000000000000000000000000000000000000..3fa9a3dfe1f00a25e351699f736eb68c3de23788 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3623.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3623, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the closet and facing the bed, is the table to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. back-left", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3624.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3624.json new file mode 100644 index 0000000000000000000000000000000000000000..23d15aa15729495b9b8fb4b63bd746a5d801dab0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3624.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3624, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the chair, is the closet to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3625.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3625.json new file mode 100644 index 0000000000000000000000000000000000000000..d18d6744910ce261cdeedaf30982bb39ec5680a5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3625.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3625, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the closet, is the chair to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3728.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3728.json new file mode 100644 index 0000000000000000000000000000000000000000..9c58346bf65d0cc01b41a18ba08fdf1300631358 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3728.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3728, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the chair and facing the nightstand, is the closet to the left or the right of the nightstand?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3729.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3729.json new file mode 100644 index 0000000000000000000000000000000000000000..abac68e80a264ec69a7092ed57f4faacd34a3583 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3729.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3729, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the chair and facing the closet, is the nightstand to the left or the right of the closet?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3730.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3730.json new file mode 100644 index 0000000000000000000000000000000000000000..8d2f8e1840fd82ea16c5db3ce7f17f139b54c919 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3730.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3730, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the nightstand and facing the chair, is the closet to the left or the right of the chair?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3797.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3797.json new file mode 100644 index 0000000000000000000000000000000000000000..ca5eae2270ad83a3961556c2f5c5798507f8c9dd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/3797.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3797, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "20.4", + "answer_given": "18.5", + "answer_raw": "18.5", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4037.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4037.json new file mode 100644 index 0000000000000000000000000000000000000000..b64a7aa6c61ce1ed076b55b4480068a7fdb4682d --- /dev/null +++ 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spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4038.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4038.json new file mode 100644 index 0000000000000000000000000000000000000000..a2b51e0bb0a3a0e3d48bb0f52fd90ea7e4f7f9f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4038.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4038, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, door, closet, chair?", + "options": [ + "A. chair, nightstand, door, closet", + "B. door, closet, chair, nightstand", + "C. nightstand, door, closet, chair", + "D. nightstand, door, chair, closet" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4039.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4039.json new file mode 100644 index 0000000000000000000000000000000000000000..ec60cf14f1aac4c4dadf5691143b3768994126dd --- /dev/null +++ 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spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4040.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4040.json new file mode 100644 index 0000000000000000000000000000000000000000..f241d22af4cab41b707ff10fb1776b315f4a4313 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4040.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4040, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, closet, door, bed?", + "options": [ + "A. door, bed, closet, table", + "B. bed, door, table, closet", + "C. closet, table, bed, door", + "D. table, closet, door, bed" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4041.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4041.json new file mode 100644 index 0000000000000000000000000000000000000000..f09ced2d9736d3bd59eabff7f9d2710ab0d17d88 --- /dev/null +++ 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all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4042.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4042.json new file mode 100644 index 0000000000000000000000000000000000000000..cc198afea64cd1bc2e3faeb824e18a3d2284be15 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4042.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4042, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, bed, door, closet?", + "options": [ + "A. backpack, bed, door, closet", + "B. bed, door, backpack, closet", + "C. bed, backpack, closet, door", + "D. closet, backpack, bed, door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4043.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4043.json new file mode 100644 index 0000000000000000000000000000000000000000..79306f0e8f5e1f05fa7dcdfb4de4fb646962bca8 --- /dev/null +++ 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this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4044.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4044.json new file mode 100644 index 0000000000000000000000000000000000000000..f8d6579e863b0a7007ebb8ec508c8b2ceba1cd93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4044.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4044, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, nightstand, closet?", + "options": [ + "A. closet, nightstand, table, door", + "B. table, door, closet, nightstand", + "C. nightstand, door, table, closet", + "D. table, door, nightstand, closet" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4045.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4045.json new file mode 100644 index 0000000000000000000000000000000000000000..136b1135150a7049f877e59a7ee3e480234c8ddb --- /dev/null +++ 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"class(es) not found in this scene's spatial code at all: ['closet']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4302.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4302.json new file mode 100644 index 0000000000000000000000000000000000000000..04ca98c1ad8c524e33ceb7bdb875d5cf771ce09e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4302.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4302, + "question_type": 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"answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4478.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4478.json new file mode 100644 index 0000000000000000000000000000000000000000..589060f5beef40f9e7665023f1f46abc4f2d7624 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4478.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4478, + "question_type": "object_counting", + "question": "How many window(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4479.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4479.json new file mode 100644 index 0000000000000000000000000000000000000000..b0b4bdd939f73d9f5f8f9d195697fd136b26f001 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4479.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": 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"input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4480, + "question_type": "object_counting", + "question": "How many backpack(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4481.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4481.json new file mode 100644 index 0000000000000000000000000000000000000000..9548d7a8638700aea4256354c72e46e0f085e105 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4481.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + 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+ "answer_given": "2.34", + "answer_raw": "2.34", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4759.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4759.json new file mode 100644 index 0000000000000000000000000000000000000000..74b401284c97001e65519ae88907e9c7ed0d3b52 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/4759.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4759, + "question_type": "object_abs_distance", + 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You want to navigate to the toilet. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the wall 3. [please fill in] 4. Go forward until the door 5. [please fill in] 6. Go forward until the door of toilet 7. [please fill in]. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right, Turn Left, Turn Left", + "B. Turn Left, Turn Right, Turn Left, Turn Right", + "C. Turn Left, Turn Left, Turn Right, Turn Left", + "D. Turn Back, Turn Right, Turn Right, Turn Left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..5a0b2f2b4355100ff94995fdb04448b7892a8934 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0699_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0699_00", + "aggregate": { + "overall": 30.223214285714285, + "object_counting_MRA:.5:.95:.05": 52.5, + "object_abs_distance_MRA:.5:.95:.05": 24.285714285714285, + "object_size_estimation_MRA:.5:.95:.05": 50.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 25.0, + "object_rel_direction_accuracy": 0.0, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, object_rel_direction_accuracy, route_planning_accuracy, obj_appearance_order_accuracy", + "tabulated_results": "30.223, 52.500, 24.286, 50.000, 90.000, 25.000, 0.000, 0.000, 0.000" + } +} \ No newline at end of file