[ { "id": 2579, "vid": "NUsG9BgSes0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl and her mother cooked while talking with each other on facetime.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 82, 150 ] ] }, { "id": 5071, "vid": "NUsG9BgSes0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman sitting in front of a desk wearing headphones and using her laptop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 118, 136 ] ] }, { "id": 5342, "vid": "NUsG9BgSes0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian woman wearing a Boston t-shirt is in her home talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111110000000111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 56, 76 ], [ 96, 150 ] ] }, { "id": 8636, "vid": "NUsG9BgSes0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a green bottle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 36, 60 ] ] }, { "id": 8749, "vid": "NUsG9BgSes0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman opens a cup of noodles and puts in water.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 78, 92 ] ] }, { "id": 2638, "vid": "bP5KfdFJzC4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in plaid shirt sits still by a red couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74 ], "relevant_windows": [ [ 0, 74 ], [ 76, 142 ], [ 144, 150 ] ] }, { "id": 5979, "vid": "bP5KfdFJzC4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video showing how to prepare a dish with beans\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111111111111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 44, 136 ] ] }, { "id": 6223, "vid": "bP5KfdFJzC4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in plaid black and white is showing images to her kid on her laptop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111111111111111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 10, 108 ] ] }, { "id": 8737, "vid": "bP5KfdFJzC4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family is playing basketball together on a green court outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.3, 3.8, 6.3, 8.8, 11.4, 13.9, 16.4, 18.9, 21.4, 23.9, 26.5, 29.0, 31.5, 34.0, 36.5, 39.0, 41.5, 44.0, 46.6, 49.1, 51.6, 54.1, 56.7, 59.2, 61.7, 64.2, 66.7, 69.2, 71.8, 74.2, 76.8, 79.3, 81.8, 84.3, 86.9, 89.4, 91.9, 94.4, 96.9, 99.4, 101.9, 104.4, 107.0, 109.5, 112.0, 114.5, 117.1, 119.6, 122.1, 124.6 ], "duration": 126, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 8783, "vid": "bP5KfdFJzC4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A kid in blue hoodie is sitting with a paper in front of him and then he starts to writing on the paper\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 0, 144 ] ] }, { "id": 781, "vid": "nY42UppPhhg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man talks to the camera while fiddling with his mask.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 6, 20 ] ] }, { "id": 3359, "vid": "nY42UppPhhg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wears a bandana around his face while out and about.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000000000000000111111110001110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45 ], "relevant_windows": [ [ 0, 2 ], [ 52, 74 ], [ 84, 92 ] ] }, { "id": 3503, "vid": "nY42UppPhhg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man talking from a beach\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111000100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 48 ], "relevant_windows": [ [ 52, 88 ], [ 96, 98 ] ] }, { "id": 4625, "vid": "RoripwjYFp8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman wearing glasses eating something at a street market\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 34, 62 ] ] }, { "id": 7803, "vid": "RoripwjYFp8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray top walks from outside to inside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 26, 46 ] ] }, { "id": 8056, "vid": "RoripwjYFp8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef makes pizza and cuts it up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 106, 122 ] ] }, { "id": 2321, "vid": "r7A-cfBq2Xw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl opening post office mails in a car\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 40, 90 ] ] }, { "id": 2343, "vid": "r7A-cfBq2Xw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde girl talks in her car parked in a lot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 0, 46 ] ] }, { "id": 5926, "vid": "r7A-cfBq2Xw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in parked car holds up a blue water bottle\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 9760, "vid": "pA6Z-qYhSNg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different types of meat products are being cut, shaped and prepared.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 32, 54 ] ] }, { "id": 10029, "vid": "pA6Z-qYhSNg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wearing sunglasses in interviewed next to a van.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 110, 124 ] ] }, { "id": 10049, "vid": "pA6Z-qYhSNg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different Facebook posts on transgender bathrooms are shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 96, 118 ] ] }, { "id": 1872, "vid": "zVwsEVwS8Kw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Some friends have a birthday meal together around a large table at a restaurant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111011101" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 73, 74 ], "relevant_windows": [ [ 122, 132 ], [ 134, 144 ], [ 146, 150 ] ] }, { "id": 3389, "vid": "zVwsEVwS8Kw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Videographer gives a front eye view of the hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 102, 104 ], [ 108, 150 ] ] }, { "id": 8014, "vid": "zVwsEVwS8Kw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: There is a large breakfast spread on the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 66, 96 ] ] }, { "id": 3183, "vid": "YIUaJzjNPuo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman goes to the 360 Chicago observation deck cafe on the 94th floor\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 40, 86 ] ] }, { "id": 3407, "vid": "YIUaJzjNPuo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing a hotel room tour\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 0, 140 ] ] }, { "id": 3525, "vid": "YIUaJzjNPuo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing a selfie video in her night dress\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111001111111100110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 43, 44, 45 ], "relevant_windows": [ [ 26, 50 ], [ 56, 80 ], [ 86, 92 ] ] }, { "id": 3403, "vid": "GAUdBAL0K5A_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couples having fun and sharing some cool scenes\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111110111000110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 66, 67, 68 ], "relevant_windows": [ [ 90, 112 ], [ 114, 122 ], [ 132, 138 ] ] }, { "id": 4508, "vid": "GAUdBAL0K5A_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three women having some green health shots\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 104, 126 ] ] }, { "id": 5612, "vid": "GAUdBAL0K5A_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman are dancing together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 10, 26 ] ] }, { "id": 9280, "vid": "jv7033VUyHE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Weather broadcaster updates about tropical forecast\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 721, "vid": "yId2wIocTys_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man walks away from white van.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 134, 148 ] ] }, { "id": 1870, "vid": "yId2wIocTys_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kids exercise in front of parked cars.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 2276, "vid": "yId2wIocTys_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy having a leisure time in a swing with a kid at outdoors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 4, 28 ] ] }, { "id": 342, "vid": "A_MFAuOwK5k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man turns the machine to make spaghetti.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 16, 36 ] ] }, { "id": 1751, "vid": "A_MFAuOwK5k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man rolling and dicing a roti\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111100011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 100, 126 ], [ 128, 130 ], [ 134, 150 ] ] }, { "id": 6083, "vid": "A_MFAuOwK5k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chefs cook the onions alone in a pot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111001000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 51 ], "relevant_windows": [ [ 80, 96 ], [ 102, 104 ] ] }, { "id": 7484, "vid": "A_MFAuOwK5k_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man cuts watermeoln into small peices on a glass tray.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 4, 22 ] ] }, { "id": 3001, "vid": "cJ8kzdeoevg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different sculpture and murals on display in a museum.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111110111111000000000000001111110000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 47, 48, 49, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 8, 30 ], [ 34, 50 ], [ 94, 112 ], [ 132, 150 ] ] }, { "id": 5584, "vid": "cJ8kzdeoevg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two people look at an art installation of a boy riding a motorcycle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011000111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 100, 104 ], [ 114, 136 ] ] }, { "id": 6746, "vid": "cJ8kzdeoevg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A tourist couple get the mango smoothie ball at the Bricklin Cafe in Penang, Malaysia\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 74, 108 ] ] }, { "id": 9796, "vid": "J_6fDCo1REI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A team of doctors is pulling a patient who is laying on a gurney.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 126, 140 ] ] }, { "id": 2585, "vid": "Jz1Cszaqck0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A dog circling in a lawn\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 73, 74 ], "relevant_windows": [ [ 116, 140 ], [ 146, 150 ] ] }, { "id": 3739, "vid": "Jz1Cszaqck0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with curly hair speaks directly to camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 0, 20 ], [ 114, 126 ] ] }, { "id": 4854, "vid": "Jz1Cszaqck0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl in pink top is lying down on the couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111000000000000011001111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 24, 32 ], [ 72, 78 ], [ 84, 100 ] ] }, { "id": 7218, "vid": "Jz1Cszaqck0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is showing his brown jeep with a white logo on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 60, 84 ] ] }, { "id": 8721, "vid": "Jz1Cszaqck0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little girl with pink dress is playing with a log as a slide\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 32, 90 ] ] }, { "id": 3069, "vid": "FL0Cos34RjU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy doing a suite's room door\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 58, 150 ] ] }, { "id": 4275, "vid": "FL0Cos34RjU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A car ride down a suburban street from a dash cameras point of view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 150 ] ] }, { "id": 7735, "vid": "FL0Cos34RjU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a mask is outside of a business.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 134, 148 ] ] }, { "id": 4875, "vid": "IdpHJK90VDw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black holds a bouquet next to a purple wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 4887, "vid": "IdpHJK90VDw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of men wait for an elevator and take it to a different floor in a building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 68, 132 ] ] }, { "id": 6213, "vid": "IdpHJK90VDw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black clothes and wearing a beige hat is talking in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 88, 150 ] ] }, { "id": 7002, "vid": "IdpHJK90VDw_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man stands behind the woman at the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000010000000111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 82, 84 ], [ 106, 124 ] ] }, { "id": 7555, "vid": "IdpHJK90VDw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in a black suit escorts a woman to a doorway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 94, 112 ] ] }, { "id": 2433, "vid": "uoVRb7a58GU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue top vlogs in a parked car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 3584, "vid": "uoVRb7a58GU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man leans his head out a truck window.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111101111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 104, 118 ], [ 120, 150 ] ] }, { "id": 4023, "vid": "uoVRb7a58GU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People butcher meat from a carcass.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 28, 130 ] ] }, { "id": 1961, "vid": "wUgPzvcKK5c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: man enjoying waterfall diving in Philippines\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 78, 108 ] ] }, { "id": 4419, "vid": "wUgPzvcKK5c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black top sits on a twin bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 30, 150 ] ] }, { "id": 5915, "vid": "wUgPzvcKK5c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man films himself while standing in front of a beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111001100110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 65, 66, 70, 71, 72 ], "relevant_windows": [ [ 88, 124 ], [ 130, 134 ], [ 140, 146 ] ] }, { "id": 1276, "vid": "8yHwJ3f7Fi4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different women dance in their home videos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011110000010000100000111000000000000000000111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 18, 25, 26, 34, 35, 36, 37, 38, 66, 67, 68, 69 ], "relevant_windows": [ [ 8, 22 ], [ 36, 38 ], [ 50, 54 ], [ 68, 78 ], [ 132, 140 ] ] }, { "id": 2960, "vid": "8yHwJ3f7Fi4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in blue and white striped pants is wiggling her body around doing a dance.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 8, 30 ] ] }, { "id": 4792, "vid": "8yHwJ3f7Fi4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young Asian couple sharing wired earplug headphones\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000111000000110001111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 48, 49, 50, 51, 52, 62, 63, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 58, 82 ], [ 96, 106 ], [ 124, 128 ], [ 138, 150 ] ] }, { "id": 8462, "vid": "8yHwJ3f7Fi4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a young woman dances in defferent outfits\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011001111100001000000000000011100010000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 9, 10, 11, 15, 16, 17, 18, 20, 21, 22, 29, 50, 51, 52, 53, 58, 59 ], "relevant_windows": [ [ 14, 16 ], [ 18, 24 ], [ 30, 38 ], [ 40, 46 ], [ 58, 60 ], [ 100, 108 ], [ 116, 120 ] ] }, { "id": 1264, "vid": "KWBfQjuwp4E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman is sitting on the olive green yoga mat with her dog while speaking about yoga.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111100001111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 72 ], [ 84, 150 ] ] }, { "id": 1505, "vid": "KWBfQjuwp4E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks about yoga and leads people through breathing exercise.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 0, 138 ] ] }, { "id": 635, "vid": "xtaVwcSitCo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman are wearing black jackets outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001011101110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 50, 51, 52, 53, 56, 57, 58, 59 ], "relevant_windows": [ [ 94, 96 ], [ 100, 108 ], [ 112, 120 ] ] }, { "id": 5488, "vid": "xtaVwcSitCo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dogs are pulling the bobsled.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 100, 116 ] ] }, { "id": 8187, "vid": "xtaVwcSitCo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Rams and moose are on the side of the road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 24, 46 ] ] }, { "id": 942, "vid": "T60_zAvnAsU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The Colosseum shown from many angles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 34, 54 ] ] }, { "id": 4691, "vid": "T60_zAvnAsU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A historical looking city located on an island is coming into view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111110001000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 42 ], "relevant_windows": [ [ 42, 74 ], [ 84, 86 ] ] }, { "id": 8052, "vid": "T60_zAvnAsU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Overhead view of the buildings of Zagreb.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 96, 118 ] ] }, { "id": 1136, "vid": "n_NdBRz6Z1E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two kids and a man walking and carrying suitcases through a tunnel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000010000000000111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 44, 48 ], [ 78, 104 ] ] }, { "id": 1874, "vid": "n_NdBRz6Z1E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks while looking at herself in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 120, 142 ] ] }, { "id": 5510, "vid": "n_NdBRz6Z1E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby is strapped in a car seat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 106, 120 ] ] }, { "id": 4283, "vid": "Z3-IZ3HAmIA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman uses the bottle on her face and wipes it down.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 4548, "vid": "Z3-IZ3HAmIA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black dress giving a tour of her hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 96, 130 ] ] }, { "id": 7990, "vid": "Z3-IZ3HAmIA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A view from the window as the plane accelerates and takes off from the runway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 98, 122 ] ] }, { "id": 9462, "vid": "opM6YIx3gA8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Crowds of people at a rally are holding up pink signs that read Women for Trump.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111100011001110011000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 14, 15, 16, 19, 20, 21, 22, 23, 27, 28, 29 ], "relevant_windows": [ [ 6, 18 ], [ 28, 34 ], [ 38, 48 ], [ 54, 60 ] ] }, { "id": 9774, "vid": "PXj6QOKJ_5Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman puts items into plastic bags.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.3, 7.2, 10.1, 13.0, 15.8, 18.7, 21.6, 24.5, 27.3, 30.2, 33.1, 36.0, 38.9, 41.7, 44.6, 47.5, 50.4, 53.2, 56.1, 59.0, 61.9, 64.7, 67.7, 70.5, 73.4, 76.3, 79.2, 82.0, 84.9, 87.8, 90.7, 93.5, 96.4, 99.3, 102.2, 105.1, 107.9, 110.8, 113.7, 116.6, 119.4, 122.3, 125.2, 128.1, 130.9, 133.9, 136.7, 139.6, 142.5 ], "duration": 144, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 2435, "vid": "-_s0sXOfS3w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is wearing a yellow blanket around himself.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 2875, "vid": "-_s0sXOfS3w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video blogger talking and eating\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 0, 62 ] ] }, { "id": 3938, "vid": "-_s0sXOfS3w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man shaves his beard looks in a mirror and talks to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 114, 140 ] ] }, { "id": 8312, "vid": "-_s0sXOfS3w_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy with grey top is showing a box filled with rubbish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 66, 90 ] ] }, { "id": 9979, "vid": "B7bTx5l-N8I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in maroon robe has a golden building over his shoulder.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001000000000000111111010000000110000000111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 52, 53, 54, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 20, 24 ], [ 60, 78 ], [ 80, 84 ], [ 104, 110 ], [ 132, 144 ] ] }, { "id": 2658, "vid": "PS5rtWdxn3A_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of people stand around a table and take turns running their hands around the base of a mound of dirt on the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011110111011111101011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 72, 73, 74 ], "relevant_windows": [ [ 90, 102 ], [ 104, 114 ], [ 118, 136 ], [ 138, 142 ], [ 144, 150 ] ] }, { "id": 3826, "vid": "PS5rtWdxn3A_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of people pose for group photos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000101100000100110010000000000100000000100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 20, 21, 30, 31, 35, 36, 40, 41, 52, 57, 64, 70, 71 ], "relevant_windows": [ [ 34, 36 ], [ 40, 44 ], [ 60, 64 ], [ 70, 74 ], [ 80, 84 ], [ 104, 106 ], [ 114, 116 ], [ 128, 130 ], [ 140, 144 ] ] }, { "id": 5353, "vid": "PS5rtWdxn3A_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group is standing around a white table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00100010011010100001001000011110000111101000001000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 9, 10, 14, 15, 16, 18, 21, 29, 31, 33, 41, 42, 44, 45, 49, 52, 53, 54, 55, 56, 57, 58, 60, 61, 69, 70 ], "relevant_windows": [ [ 6, 8 ], [ 18, 22 ], [ 28, 34 ], [ 36, 38 ], [ 42, 44 ], [ 58, 60 ], [ 62, 64 ], [ 66, 68 ], [ 82, 86 ], [ 88, 92 ], [ 98, 100 ], [ 104, 118 ], [ 120, 124 ], [ 138, 142 ] ] }, { "id": 8341, "vid": "PS5rtWdxn3A_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of girls are playing a searching game while camping in the wild.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 128 ], [ 130, 150 ] ] }, { "id": 8628, "vid": "PS5rtWdxn3A_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Some girls talk under a yellow canopy\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 88 ], [ 134, 150 ] ] }, { "id": 3915, "vid": "izeyQalOwGg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in white top sits in a a van backseat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00101011111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 6, 10 ], [ 12, 16 ], [ 18, 36 ] ] }, { "id": 6240, "vid": "izeyQalOwGg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Liverpool player is interviewed next to a logo wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111001111100000000" } ], "video_timestamps": [ 1.3, 3.8, 6.4, 8.9, 11.5, 14.0, 16.5, 19.1, 21.6, 24.2, 26.7, 29.3, 31.8, 34.3, 36.9, 39.5, 42.0, 44.5, 47.1, 49.6, 52.2, 54.7, 57.3, 59.8, 62.3, 64.9, 67.4, 70.0, 72.5, 75.1, 77.6, 80.1, 82.7, 85.3, 87.8, 90.3, 92.9, 95.4, 98.0, 100.5, 103.1, 105.6, 108.1, 110.7, 113.2, 115.8, 118.3, 120.9, 123.4, 126.0 ], "duration": 128, "relevant_clip_ids": [ 40, 41, 42, 43, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 80, 88 ], [ 94, 106 ] ] }, { "id": 298, "vid": "KQyJtq52Jcw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man reads a piece of paper to his kid.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 2851, "vid": "KQyJtq52Jcw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Little american girl playing with her toys\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 0, 70 ] ] }, { "id": 5256, "vid": "KQyJtq52Jcw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man stands on playground balance bridge.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 24, 58 ] ] }, { "id": 7527, "vid": "KQyJtq52Jcw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl messes with her hands on the couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.3, 3.8, 6.3, 8.9, 11.4, 13.9, 16.4, 19.0, 21.5, 24.0, 26.5, 29.1, 31.6, 34.2, 36.7, 39.2, 41.7, 44.3, 46.8, 49.3, 51.8, 54.4, 56.9, 59.4, 62.0, 64.5, 67.0, 69.6, 72.1, 74.6, 77.1, 79.7, 82.2, 84.7, 87.3, 89.8, 92.3, 94.8, 97.4, 99.9, 102.4, 105.0, 107.5, 110.0, 112.6, 115.1, 117.6, 120.1, 122.7, 125.2 ], "duration": 128, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 8671, "vid": "KQyJtq52Jcw_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Multiple kids with white tops are playing in back garden.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001000000011111111111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 48, 52 ], [ 72, 120 ] ] }, { "id": 4707, "vid": "_ufoIeYZYjw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger goes on a tour of the pier.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000110011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 104, 112 ], [ 118, 140 ] ] }, { "id": 6337, "vid": "_ufoIeYZYjw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in sunglasses takes a boat ride on a pirate ship\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 30, 150 ] ] }, { "id": 7940, "vid": "_ufoIeYZYjw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray throws pottery on a wheel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 108, 132 ] ] }, { "id": 9053, "vid": "_ufoIeYZYjw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The boat in the ocean in red, white, and blue.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 54, 70 ] ] }, { "id": 2132, "vid": "ZWldnViJ4iY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl girl wears mouse ears while a teen boy talks beside her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3054, "vid": "ZWldnViJ4iY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple's selfie video from a house\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 8193, "vid": "ZWldnViJ4iY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Brother and sister talk next to a large window.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 22, 132 ] ] }, { "id": 4758, "vid": "MmGtg0qgceA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in glasses wears a shirt with soccer balls.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 44 ] ] }, { "id": 6807, "vid": "MmGtg0qgceA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Somebody is passed out in the back of a moving car with a white mask over their face.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 7653, "vid": "MmGtg0qgceA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in floral cup is eating from a cup.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 24, 60 ] ] }, { "id": 9692, "vid": "DTInxNfWXVc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The ruins of a wooden building are being shown with beams laying everywhere.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 9899, "vid": "DTInxNfWXVc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with headphones having a video interview\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 2, 34 ] ] }, { "id": 10189, "vid": "DTInxNfWXVc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black shirt speaks in front of a tree at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 2244, "vid": "6Mzo1y19iTU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The curly haired woman has a laptop with a YouTube logo on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111001100000011000011111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 19, 20, 21, 31, 32, 33, 34, 37, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 12, 32 ], [ 38, 44 ], [ 62, 70 ], [ 74, 76 ], [ 82, 98 ] ] }, { "id": 5862, "vid": "6Mzo1y19iTU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a eats a sandwich.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001000011000000110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 18, 19, 20, 30, 31, 32 ], "relevant_windows": [ [ 22, 24 ], [ 36, 42 ], [ 60, 66 ] ] }, { "id": 7924, "vid": "6Mzo1y19iTU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in pink bathing suit is lounging in the pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 128, 146 ] ] }, { "id": 538, "vid": "x4kKIm8WWOA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vlogger is petting a lizard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 40, 76 ] ] }, { "id": 3834, "vid": "x4kKIm8WWOA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman showing how to repurpose egg cartons.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 5331, "vid": "x4kKIm8WWOA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in a black coat grooms a horse\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 7547, "vid": "x4kKIm8WWOA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Jockey rides a black horse around a stable.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 44 ] ] }, { "id": 8370, "vid": "x4kKIm8WWOA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Jockey is riding a horse around a stable.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 76, 150 ] ] }, { "id": 255, "vid": "geklhsKfw7I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls having fun out side shop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 67 ], "relevant_windows": [ [ 106, 130 ], [ 132, 136 ] ] }, { "id": 5084, "vid": "geklhsKfw7I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls are comparing the shoes they are wearing together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 8, 22 ] ] }, { "id": 993, "vid": "fOU0-2bBRnU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Father holds onto his father.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 98, 116 ] ] }, { "id": 2043, "vid": "fOU0-2bBRnU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk across the street at night then talk in front of a store building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 64 ], "relevant_windows": [ [ 38, 60 ], [ 128, 130 ] ] }, { "id": 2125, "vid": "fOU0-2bBRnU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three men are hanging out on a desert road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 18, 58 ] ] }, { "id": 1303, "vid": "Nhelnhenn1w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian woman eating french fries and talking at the same time\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110001100011000110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 24, 25, 26, 32, 33, 34, 39, 40, 41 ], "relevant_windows": [ [ 24, 40 ], [ 48, 54 ], [ 64, 70 ], [ 78, 84 ] ] }, { "id": 2511, "vid": "Nhelnhenn1w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian couple playing alphabet games in some public area\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 20, 150 ] ] }, { "id": 3793, "vid": "Nhelnhenn1w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People many kids of foods in a airport.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011010111000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 45, 46, 48, 49, 50, 51, 52, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 82, 86 ], [ 90, 94 ], [ 96, 106 ], [ 124, 150 ] ] }, { "id": 7285, "vid": "Nhelnhenn1w_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in white is browsing through clothes at a department store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 16, 50 ] ] }, { "id": 7291, "vid": "Nhelnhenn1w_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vloggers go grocery shopping.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 150 ] ] }, { "id": 884, "vid": "rrTIeJRVGjg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Credits roll in the video.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.4, 4.0, 6.7, 9.4, 12.1, 14.7, 17.4, 20.1, 22.8, 25.5, 28.1, 30.8, 33.5, 36.2, 38.8, 41.5, 44.2, 46.9, 49.5, 52.2, 54.9, 57.6, 60.3, 63.0, 65.6, 68.3, 71.0, 73.7, 76.4, 79.1, 81.7, 84.4, 87.1, 89.8, 92.4, 95.1, 97.8, 100.5, 103.1, 105.9, 108.5, 111.2, 113.9, 116.6, 119.2, 121.9, 124.6, 127.3, 129.9, 132.6 ], "duration": 134, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 112, 134 ] ] }, { "id": 2253, "vid": "rrTIeJRVGjg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian man has his mask on his chin when talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100011100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 53, 54, 55, 56, 57, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 100, 104 ], [ 106, 116 ], [ 126, 136 ] ] }, { "id": 5688, "vid": "rrTIeJRVGjg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man stands in front of a white building monologuing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 56, 78 ] ] }, { "id": 4413, "vid": "aG3duH53XDs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman walks around town with purple mirrored sunglasses.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011110000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 108, 120 ], [ 134, 146 ] ] }, { "id": 6831, "vid": "aG3duH53XDs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: On their last day in Antiguilla, a couple go to a water park in the ocean\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111110111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 78, 92 ], [ 96, 116 ] ] }, { "id": 7861, "vid": "aG3duH53XDs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of friends is hanging out at a spa and some get massages.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 30, 50 ] ] }, { "id": 10107, "vid": "Vrsl2ZU1LWg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is wearing a black shirt in front of a fireplace.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111001111111111111100110011001100110111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 44, 45, 46, 49, 50, 51, 56, 57, 62, 63, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 34 ], [ 40, 82 ], [ 88, 94 ], [ 98, 104 ], [ 112, 116 ], [ 124, 128 ], [ 132, 150 ] ] }, { "id": 158, "vid": "xUeRLu1o0v4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A fire is poked at before vegetables are put in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 24, 38 ] ] }, { "id": 228, "vid": "xUeRLu1o0v4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man saws trunks of bamboo.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111100001000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 47, 48, 49, 50, 51, 52, 53, 60, 61 ], "relevant_windows": [ [ 88, 92 ], [ 94, 108 ], [ 120, 124 ] ] }, { "id": 2798, "vid": "xUeRLu1o0v4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is cooking in a pot on an open fire.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 120, 144 ] ] }, { "id": 1566, "vid": "h6QKDqomIPk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks in a parked car with her son over her shoulder.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111000001111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 0, 60 ], [ 76, 94 ] ] }, { "id": 2583, "vid": "h6QKDqomIPk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mother showing some peaches to her son and having chat\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 6117, "vid": "h6QKDqomIPk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A toddler sits in his car seat, holding his yellow tablet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 108, 122 ] ] }, { "id": 5587, "vid": "UFWQKrcbhjI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is checking out a small animal burrowing in the grass.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 56, 57, 58 ], "relevant_windows": [ [ 100, 110 ], [ 112, 118 ] ] }, { "id": 6598, "vid": "UFWQKrcbhjI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man talks to the camera whilst walking along a roadside in a rural area.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 6863, "vid": "UFWQKrcbhjI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man speaks to the camera while he is wearing shades and black biker's helmet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 28, 46 ], [ 52, 64 ] ] }, { "id": 9562, "vid": "Gwdizqh16JY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Police officer gives a interview in full uniform.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000010001111111111100000011000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 18, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 50, 51 ], "relevant_windows": [ [ 14, 16 ], [ 36, 40 ], [ 48, 80 ], [ 100, 104 ] ] }, { "id": 9619, "vid": "Gwdizqh16JY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman gives a speech to an assembly\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 10254, "vid": "Gwdizqh16JY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A cop is sitting for a interview in uniform.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011001111000110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 37, 38, 39, 40, 41, 42, 43, 48, 49, 50 ], "relevant_windows": [ [ 64, 70 ], [ 74, 88 ], [ 96, 102 ] ] }, { "id": 3573, "vid": "_NznSSfDxdo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with pink top has a conversation with a woman in wicker chairs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 5651, "vid": "_NznSSfDxdo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in pink top eats fish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 54, 70 ] ] }, { "id": 1271, "vid": "6aFvTqmnrJQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A boy and girl interact with a clown in a mall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 92, 128 ] ] }, { "id": 5168, "vid": "6aFvTqmnrJQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black is speaking to a camera on a moving train.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 68, 92 ] ] }, { "id": 5257, "vid": "6aFvTqmnrJQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A clown puts balloons onto a pump.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 132, 146 ] ] }, { "id": 8444, "vid": "6aFvTqmnrJQ_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young man talks and gestures with his hands while a woman watches him.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 72, 86 ] ] }, { "id": 548, "vid": "lwNho_1tKrc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in striped shirt is wearing a orange lei.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111101111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 2, 28 ], [ 30, 48 ] ] }, { "id": 1918, "vid": "lwNho_1tKrc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The three men are given leis and dance while they are greeted by musicians playing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 2820, "vid": "lwNho_1tKrc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of men are running then stops and walks towards a car and rides in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000110100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 21, 22, 23, 26 ], "relevant_windows": [ [ 0, 18 ], [ 42, 48 ], [ 52, 54 ] ] }, { "id": 4468, "vid": "lwNho_1tKrc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Men in a car encouraging students on a sidewalk who are running.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 21, 22, 23 ], "relevant_windows": [ [ 0, 20 ], [ 42, 48 ] ] }, { "id": 5427, "vid": "O5RKn-qeIVI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger gives a tour of their vacation rental.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111111111111111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 30, 108 ] ] }, { "id": 7604, "vid": "O5RKn-qeIVI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is wearing shirt around one shoulder on the side of the road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 62, 86 ] ] }, { "id": 8008, "vid": "O5RKn-qeIVI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde man is walking past palm trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 56, 80 ] ] }, { "id": 41, "vid": "E6yFTWlChmE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men are playing in a professional ping pong match on a red court.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 12, 48 ] ] }, { "id": 76, "vid": "E6yFTWlChmE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boys playing table tennis and filming\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111101000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42 ], "relevant_windows": [ [ 48, 82 ], [ 84, 86 ] ] }, { "id": 6065, "vid": "E6yFTWlChmE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two guys are competing at table tennis.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 98, 150 ] ] }, { "id": 7295, "vid": "E6yFTWlChmE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are competing in a ping pong competition.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11000111111111000000111111110000000111111000111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 52, 53, 54, 55, 56, 57, 58, 59, 60, 66, 67, 68, 69, 71 ], "relevant_windows": [ [ 0, 6 ], [ 16, 42 ], [ 60, 84 ], [ 104, 122 ], [ 132, 140 ], [ 142, 144 ] ] }, { "id": 7581, "vid": "E6yFTWlChmE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People sit behind a desk during a press conference.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 88, 142 ] ] }, { "id": 10046, "vid": "yutpAXhjMlI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man shows the video of police from his phone.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111101000000000000000000" } ], "video_timestamps": [ 1.4, 4.0, 6.7, 9.4, 12.0, 14.7, 17.4, 20.0, 22.7, 25.4, 28.0, 30.7, 33.4, 36.1, 38.7, 41.4, 44.1, 46.7, 49.4, 52.1, 54.7, 57.4, 60.1, 62.8, 65.4, 68.1, 70.8, 73.5, 76.1, 78.8, 81.5, 84.1, 86.8, 89.5, 92.2, 94.8, 97.5, 100.2, 102.8, 105.5, 108.2, 110.8, 113.5, 116.2, 118.8, 121.5, 124.2, 126.9, 129.5, 132.2 ], "duration": 134, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 42 ], "relevant_windows": [ [ 66, 80 ], [ 84, 86 ] ] }, { "id": 1155, "vid": "_t21xx94wZw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Video of a car in travel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011000011111111100000001100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 37, 38, 39 ], "relevant_windows": [ [ 10, 14 ], [ 28, 32 ], [ 34, 54 ], [ 74, 80 ] ] }, { "id": 3350, "vid": "_t21xx94wZw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with a selfie stick wades into bright green water and swims in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111001110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41 ], "relevant_windows": [ [ 38, 70 ], [ 76, 84 ] ] }, { "id": 4378, "vid": "_t21xx94wZw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A dash cam view of the car drive at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 90, 116 ] ] }, { "id": 4921, "vid": "L9cUEhaXnK4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman holding a camera on her left hand while talking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 4957, "vid": "L9cUEhaXnK4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blond woman is talking next to a clock on the wall behind her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 4, 24 ] ] }, { "id": 6156, "vid": "L9cUEhaXnK4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman shows her poppin' outfit consisting of super-ripped jeans and a thin holey top\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 120, 132 ], [ 134, 150 ] ] }, { "id": 6978, "vid": "L9cUEhaXnK4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam view of a car driving to a tunnel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 7404, "vid": "L9cUEhaXnK4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family stops a their car to look at a grazing herd on a lush field.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 54, 92 ] ] }, { "id": 898, "vid": "_i9qWLsZToY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in black rides escalators.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111100100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 70, 71 ], "relevant_windows": [ [ 122, 134 ], [ 140, 144 ] ] }, { "id": 2220, "vid": "_i9qWLsZToY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black top walks through glass store walkway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 14, 38 ] ] }, { "id": 4652, "vid": "_i9qWLsZToY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is sitting at a bar by a big sandwich and she starts to eat it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 8967, "vid": "_i9qWLsZToY_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Group of people watch a fight.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000100111100" } ], "video_timestamps": [ 1.3, 3.8, 6.4, 8.9, 11.5, 14.0, 16.6, 19.1, 21.7, 24.2, 26.8, 29.3, 31.9, 34.4, 37.0, 39.5, 42.1, 44.6, 47.2, 49.7, 52.3, 54.8, 57.4, 59.9, 62.5, 65.0, 67.6, 70.1, 72.7, 75.2, 77.8, 80.3, 82.9, 85.4, 88.0, 90.5, 93.1, 95.6, 98.2, 100.7, 103.3, 105.8, 108.4, 110.9, 113.5, 116.0, 118.6, 121.1, 123.7, 126.2 ], "duration": 128, "relevant_clip_ids": [ 52, 53, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 104, 108 ], [ 112, 122 ] ] }, { "id": 2800, "vid": "H15bUc-1LJo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is holding a baby who keeps on pointing at different directions.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 68, 112 ] ] }, { "id": 3622, "vid": "H15bUc-1LJo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A toddler meets cartoon characters.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 0, 36 ] ] }, { "id": 4425, "vid": "H15bUc-1LJo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mother holds her daughter in her arms in a gold room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 72, 108 ] ] }, { "id": 4738, "vid": "H15bUc-1LJo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mickey mouse and a costume pink bunny are interacting with a baby held by a mother.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 0, 36 ] ] }, { "id": 6282, "vid": "H15bUc-1LJo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: After a tiring trip, a young mother and her family finally reach their hotel with a nice waterfront night view\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 54, 92 ] ] }, { "id": 7277, "vid": "H15bUc-1LJo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A baby is eating from a large platter of french fries on a black tray.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 24, 38 ] ] }, { "id": 8263, "vid": "H15bUc-1LJo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby is strapped in a carrier riding a elevator.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11110111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 2, 3, 4, 5, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 2 ], [ 4, 12 ], [ 14, 24 ] ] }, { "id": 8425, "vid": "H15bUc-1LJo_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in green blouse and her babe are being recorded while sitting on the chair\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 50, 92 ] ] }, { "id": 525, "vid": "XpVt6Z1Gjjo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men are looking at tools in Home Depot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 104, 150 ] ] }, { "id": 3874, "vid": "XpVt6Z1Gjjo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An excited man plays with his bird and dog\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 4029, "vid": "XpVt6Z1Gjjo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young man has his foot above the glove compartment of a car\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111101111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 114, 126 ], [ 128, 150 ] ] }, { "id": 6939, "vid": "XpVt6Z1Gjjo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde man eats shirtless next to his friend.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 8872, "vid": "XpVt6Z1Gjjo_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two boys are eating and talking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 3603, "vid": "qBe1PUrRHUo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman fixes her hair at different times.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011100000000000000000111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 26, 36 ], [ 86, 108 ] ] }, { "id": 3900, "vid": "qBe1PUrRHUo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women get ice cream and eat it in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 12, 34 ] ] }, { "id": 4719, "vid": "qBe1PUrRHUo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman goes through her beauty routine.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 86, 116 ] ] }, { "id": 5703, "vid": "qBe1PUrRHUo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: It is sunset at the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 60, 70 ], [ 134, 150 ] ] }, { "id": 6166, "vid": "qBe1PUrRHUo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black bikini and light blue flippers is swimming in the sea.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 100, 128 ] ] }, { "id": 6950, "vid": "qBe1PUrRHUo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman reading in bed finally finishes the book \"Atomic Habits\" after many months and really liked it\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 48, 76 ] ] }, { "id": 8108, "vid": "qBe1PUrRHUo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is looking through a clear plastic container with different clothes in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 24, 42 ] ] }, { "id": 9073, "vid": "qBe1PUrRHUo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a book lying in bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 52, 70 ] ] }, { "id": 4427, "vid": "Ci4jrBQXtTI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman has a photoshoot of flowers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111101100110011000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 34, 35, 36, 37, 40, 41, 42, 43, 52 ], "relevant_windows": [ [ 28, 54 ], [ 58, 64 ], [ 68, 76 ], [ 80, 88 ], [ 104, 106 ] ] }, { "id": 4627, "vid": "Ci4jrBQXtTI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in black top stands between a bookcase and a plant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011100000111011111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 26, 36 ], [ 50, 60 ], [ 62, 150 ] ] }, { "id": 5690, "vid": "Ci4jrBQXtTI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The screen gives their social media handles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 2363, "vid": "Z-L9RjWBTHg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different store fronts are shown in a mall area.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111011100000000000011010010010000000000000000000" } ], "video_timestamps": [ 1.3, 3.8, 6.3, 8.9, 11.4, 14.0, 16.5, 19.0, 21.6, 24.1, 26.7, 29.2, 31.7, 34.3, 36.8, 39.3, 41.9, 44.4, 46.9, 49.5, 52.0, 54.5, 57.1, 59.6, 62.1, 64.7, 67.2, 69.8, 72.3, 74.8, 77.4, 79.9, 82.5, 85.0, 87.5, 90.1, 92.6, 95.1, 97.7, 100.2, 102.7, 105.3, 107.8, 110.3, 112.9, 115.4, 117.9, 120.5, 123.0, 125.6 ], "duration": 128, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 8, 9, 10, 27, 28, 30, 31, 34, 35, 38 ], "relevant_windows": [ [ 2, 12 ], [ 16, 22 ], [ 54, 58 ], [ 60, 64 ], [ 68, 72 ], [ 76, 78 ] ] }, { "id": 5566, "vid": "Z-L9RjWBTHg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vloggers give a tour of a indoor mall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111000111100000000000000110000111110111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 12, 13, 14, 15, 16, 17, 39, 40, 41, 48, 49, 50, 51, 52, 53, 54, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 6, 14 ], [ 24, 36 ], [ 78, 84 ], [ 96, 110 ], [ 114, 150 ] ] }, { "id": 7622, "vid": "Z-L9RjWBTHg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is showing the huge shopping mall\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 2386, "vid": "74jtgDnsEBU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shirtless man is wearing a comically large hat by a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 56, 104 ], [ 106, 150 ] ] }, { "id": 4178, "vid": "74jtgDnsEBU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman hangs out on the balcony and shows the view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 120, 148 ] ] }, { "id": 6729, "vid": "74jtgDnsEBU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a sun hat relaxes in an overflowing pool at the hotel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 56, 70 ] ] }, { "id": 9173, "vid": "rNPSRSs3reQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a black sweater near a river, talking about bad weather and flooding.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111111111111111100" } ], "video_timestamps": [ 1.3, 3.9, 6.4, 9.0, 11.6, 14.2, 16.7, 19.3, 21.9, 24.5, 27.1, 29.7, 32.2, 34.8, 37.4, 40.0, 42.5, 45.1, 47.7, 50.3, 52.9, 55.5, 58.0, 60.6, 63.2, 65.8, 68.3, 70.9, 73.5, 76.1, 78.7, 81.3, 83.8, 86.4, 89.0, 91.6, 94.1, 96.7, 99.3, 101.9, 104.5, 107.1, 109.6, 112.2, 114.8, 117.4, 119.9, 122.5, 125.1, 127.7 ], "duration": 130, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 62, 124 ] ] }, { "id": 9512, "vid": "uGPMVvhFSCg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A mob of people and polices are fighting against each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3077, "vid": "RVOg4rk7MRg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl showing awesome scene from tour\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111011100110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 70, 71, 72 ], "relevant_windows": [ [ 108, 124 ], [ 126, 136 ], [ 140, 146 ] ] }, { "id": 5802, "vid": "RVOg4rk7MRg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman puts her hands in Bing Crosby's handprints in front of the Chinese Theater in Hollywood.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 104, 118 ] ] }, { "id": 7770, "vid": "RVOg4rk7MRg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman gets a glass of fried chicken and fries and eats it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 12, 30 ] ] }, { "id": 2323, "vid": "yeCaAL4uM-U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl's day routine on a Saturday\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 3530, "vid": "yeCaAL4uM-U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing her face make up\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 38, 150 ] ] }, { "id": 4391, "vid": "yeCaAL4uM-U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian woman eats her lunch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 82, 104 ] ] }, { "id": 9119, "vid": "yeCaAL4uM-U_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman sitting with her legs folded up talks about an activity where they really defined the whole scope of emotions\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 40, 80 ] ] }, { "id": 66, "vid": "IAbAn-MkMH8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Graduates pose for the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001100000000000000000000000000000111100001100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 53, 54, 55, 56, 57, 65, 66 ], "relevant_windows": [ [ 12, 18 ], [ 106, 116 ], [ 130, 134 ] ] }, { "id": 1323, "vid": "IAbAn-MkMH8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl getting her face and hair done by a professional\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 80, 112 ] ] }, { "id": 4831, "vid": "IAbAn-MkMH8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Group of graduates in red pose for pictures.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 98, 120 ] ] }, { "id": 7264, "vid": "IAbAn-MkMH8_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Graduates are standing in a group together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111110000000000000000000000000000" } ], "video_timestamps": [ 1.4, 4.0, 6.7, 9.4, 12.1, 14.8, 17.5, 20.2, 22.9, 25.5, 28.2, 30.9, 33.6, 36.3, 39.0, 41.7, 44.4, 47.1, 49.8, 52.5, 55.1, 57.8, 60.5, 63.2, 65.9, 68.6, 71.3, 74.0, 76.7, 79.4, 82.0, 84.7, 87.4, 90.1, 92.8, 95.5, 98.2, 100.9, 103.6, 106.3, 109.0, 111.6, 114.3, 117.0, 119.7, 122.4, 125.1, 127.8, 130.5, 133.2 ], "duration": 136, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 24, 60 ] ] }, { "id": 9207, "vid": "PAnfDGUj0JI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man reporting from outside of a destroyed house\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111001111000000011100000" } ], "video_timestamps": [ 1.5, 4.3, 7.2, 10.1, 12.9, 15.8, 18.7, 21.5, 24.4, 27.3, 30.1, 33.0, 35.9, 38.8, 41.7, 44.5, 47.4, 50.3, 53.1, 56.0, 58.9, 61.7, 64.6, 67.5, 70.4, 73.3, 76.1, 79.0, 81.9, 84.7, 87.6, 90.5, 93.3, 96.2, 99.1, 102.0, 104.8, 107.7, 110.6, 113.5, 116.3, 119.2, 122.1, 124.9, 127.8, 130.7, 133.6, 136.4, 139.3, 142.2 ], "duration": 144, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 45, 46, 47, 48, 49, 61, 62, 63 ], "relevant_windows": [ [ 74, 84 ], [ 90, 100 ], [ 122, 128 ] ] }, { "id": 9367, "vid": "OckIALHg9Uc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A big crowd marching near a park\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 44 ] ] }, { "id": 3042, "vid": "WBkLObX2Fdo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Bearded man sits next to a gold lamp in his hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011100000000000010000000111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 36, 37, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 26, 36 ], [ 72, 76 ], [ 96, 106 ] ] }, { "id": 7768, "vid": "WBkLObX2Fdo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Men talk while holding beer steins.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 84, 130 ] ] }, { "id": 8144, "vid": "WBkLObX2Fdo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman walks down the street with her Instragram handle showing below.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 52, 66 ] ] }, { "id": 9277, "vid": "tlQPRLVDyH4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman in beige suite and white blouse is talking in front of a camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011110000000000000000000000000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 44, 56 ], [ 134, 146 ] ] }, { "id": 1999, "vid": "DTrwYYi25Dc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in pink head scarf is buying a grilled corn from a stall near Jummah Prayer and eating it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 92, 114 ] ] }, { "id": 6885, "vid": "DTrwYYi25Dc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman stands before a mirror and discusses her pink outfit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111110011000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 68, 69 ], "relevant_windows": [ [ 114, 130 ], [ 136, 140 ] ] }, { "id": 8154, "vid": "DTrwYYi25Dc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef sets a dish on fire.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 18, 32 ] ] }, { "id": 8987, "vid": "DTrwYYi25Dc_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: women show the Bollywood walk of fame\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 72, 98 ] ] }, { "id": 601, "vid": "pu5p_ojK6BI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man talks to the camera under candlelight.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 54, 82 ] ] }, { "id": 912, "vid": "pu5p_ojK6BI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman have a conversation in the back of a blue car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 74, 108 ] ] }, { "id": 1805, "vid": "pu5p_ojK6BI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man trying a sugar free fruit juice in a local shop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 1813, "vid": "2iW3ei-5fpE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in striped shirt helps the girl shop for clothes.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011000000001111111111111111111100001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 31, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 73, 74 ], "relevant_windows": [ [ 44, 50 ], [ 62, 64 ], [ 76, 136 ], [ 146, 150 ] ] }, { "id": 2364, "vid": "2iW3ei-5fpE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A traveler girl experiences heartbreak at a Japanese mall dress shop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 48, 78 ] ] }, { "id": 3378, "vid": "2iW3ei-5fpE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in red T-shirt is talking behind a huge stair case.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 10, 12 ], [ 16, 36 ] ] }, { "id": 840, "vid": "gpDpN44mky0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger gives a tour of their bedroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 46, 66 ] ] }, { "id": 3456, "vid": "gpDpN44mky0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady in a black sweater points at different buildings.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 4495, "vid": "gpDpN44mky0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Hand points to different makeup samples.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 104, 128 ] ] }, { "id": 9651, "vid": "atDm_Gamcqo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video showing people in the desert\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 0, 128 ] ] }, { "id": 9758, "vid": "atDm_Gamcqo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a hijab is interviewed by a reporter at a hospital where her son is being cared for.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 36, 68 ] ] }, { "id": 10307, "vid": "atDm_Gamcqo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man pets camel before he is interviewed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000010111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 118, 120 ], [ 124, 132 ], [ 134, 150 ] ] }, { "id": 251, "vid": "ObBiYbyai0Y_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is giving a press conference in between corporate logos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10011100111000000001111000100000000000000000000111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 4, 5, 6, 7, 8, 12, 13, 14, 15, 16, 28, 29, 30, 31, 32, 33, 39, 40, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 4 ], [ 8, 18 ], [ 24, 34 ], [ 56, 68 ], [ 78, 82 ], [ 140, 150 ] ] }, { "id": 561, "vid": "ObBiYbyai0Y_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A soccer play is giving a press conference in front of jeep and adidas logos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001110001111000000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 61, 74 ], "relevant_windows": [ [ 92, 102 ], [ 112, 124 ], [ 148, 150 ] ] }, { "id": 5277, "vid": "ObBiYbyai0Y_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man gives a press conference between corporate logos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00110000011011100000000000000111111000011000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 3, 4, 5, 13, 14, 15, 18, 19, 20, 21, 22, 43, 44, 45, 46, 47, 48, 49, 50, 51, 59, 60, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 2, 4 ], [ 6, 12 ], [ 26, 32 ], [ 36, 46 ], [ 86, 104 ], [ 118, 122 ], [ 134, 148 ] ] }, { "id": 759, "vid": "NcRo-rLqXp4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wears a black mask in the hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 130, 144 ] ] }, { "id": 4295, "vid": "NcRo-rLqXp4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger shows off the food they ate at various restaurants.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010000011111100000000000000000011111111111100011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 14, 15, 16, 17, 18, 19, 20, 21, 22, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 72, 73, 74 ], "relevant_windows": [ [ 10, 12 ], [ 28, 46 ], [ 100, 134 ], [ 144, 150 ] ] }, { "id": 5672, "vid": "NcRo-rLqXp4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large buffet is on a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 46, 62 ] ] }, { "id": 949, "vid": "jyHSYDfqPnU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is wearing a red scarf and white top.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000110110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 48, 49, 50 ], "relevant_windows": [ [ 86, 94 ], [ 96, 102 ] ] }, { "id": 1067, "vid": "jyHSYDfqPnU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People do skateboarding tricks in a city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 3254, "vid": "jyHSYDfqPnU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Old vehicles are on display in a museum.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 104, 130 ] ] }, { "id": 1891, "vid": "6OV8g7JkMvg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The view of the top of the building during the day.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 98, 136 ] ] }, { "id": 3064, "vid": "6OV8g7JkMvg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple go to Monestary Beach to sunbathe and see the sights\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 26, 66 ] ] }, { "id": 4235, "vid": "6OV8g7JkMvg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A driver is showing their view under water.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011101111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 10, 18 ], [ 22, 36 ] ] }, { "id": 2646, "vid": "j9NNAmqweOA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman makes a bathroom look nice with cleaning, arrangement, and a lit candle\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001100000100111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 58, 62 ], [ 78, 80 ], [ 86, 116 ] ] }, { "id": 4217, "vid": "j9NNAmqweOA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman cleans the bathroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 60, 94 ] ] }, { "id": 5266, "vid": "j9NNAmqweOA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person in a dark top uses a henna pen to draw and intricate pattern on the back of the fingers of their left hand in a sped-up video\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 10, 24 ] ] }, { "id": 6107, "vid": "j9NNAmqweOA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man gets a tattoo on his forearm.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 20, 150 ] ] }, { "id": 7223, "vid": "j9NNAmqweOA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing her blue luxury handbag.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 20, 56 ] ] }, { "id": 7533, "vid": "j9NNAmqweOA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman loads clothes into a suitcase.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 7691, "vid": "j9NNAmqweOA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man gets a tattoo on his hand.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 0, 36 ] ] }, { "id": 8028, "vid": "j9NNAmqweOA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is getting a tattoo on their forearm.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 20, 150 ] ] }, { "id": 1571, "vid": "KRHEqswrh9I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl trying new product and giving review on\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 2469, "vid": "KRHEqswrh9I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl having some healthy breakfast\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111101111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32 ], "relevant_windows": [ [ 0, 36 ], [ 40, 62 ], [ 64, 66 ] ] }, { "id": 4973, "vid": "KRHEqswrh9I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in white is holding up a black swewater with white stars on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 8, 26 ] ] }, { "id": 8298, "vid": "KRHEqswrh9I_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks in the mirror wearing a black to with white stars.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 76, 150 ] ] }, { "id": 8315, "vid": "KRHEqswrh9I_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman addresses the camera while driving\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 9471, "vid": "kiSm0Nuqomg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black man is being escorted from a black SUV on the side of the road by police officers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.4, 7.4, 10.3, 13.2, 16.2, 19.1, 22.1, 25.0, 27.9, 30.9, 33.9, 36.8, 39.7, 42.7, 45.6, 48.6, 51.5, 54.4, 57.4, 60.3, 63.3, 66.2, 69.2, 72.1, 75.1, 78.0, 80.9, 83.9, 86.8, 89.8, 92.7, 95.6, 98.6, 101.5, 104.5, 107.4, 110.4, 113.3, 116.2, 119.2, 122.1, 125.1, 128.0, 130.9, 133.9, 136.9, 139.8, 142.7, 145.7 ], "duration": 148, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 2448, "vid": "AVErftnrqwY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy eating food on his couch\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 6252, "vid": "AVErftnrqwY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man stands behind a counter with a large plate of food.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 7367, "vid": "AVErftnrqwY_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black top is showing his black and white shorts from a backpack.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 116, 130 ] ] }, { "id": 8792, "vid": "AVErftnrqwY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a man holding a coffee mug.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 68, 132 ] ] }, { "id": 1959, "vid": "FdMI99a1TZE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls are enjoying drinks and meal at hotel\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111101111111111111111111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 26, 44 ], [ 48, 126 ] ] }, { "id": 5613, "vid": "FdMI99a1TZE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is examining a grilled cheese sandwich that she ordered.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111010000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 68 ], "relevant_windows": [ [ 118, 132 ], [ 136, 138 ] ] }, { "id": 5644, "vid": "FdMI99a1TZE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman does her beauty routine in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000110011000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 41, 42, 43 ], "relevant_windows": [ [ 68, 76 ], [ 82, 88 ] ] }, { "id": 939, "vid": "WEpnzfufxJQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked man walks around a city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111111111011111100111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 42, 96 ], [ 98, 118 ], [ 124, 150 ] ] }, { "id": 5378, "vid": "WEpnzfufxJQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked man walks down the street at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000001111110000000000000111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 38, 39, 40, 41, 42, 43, 44, 45, 46, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 0, 22 ], [ 76, 94 ], [ 132, 142 ] ] }, { "id": 6798, "vid": "WEpnzfufxJQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is looking at tree like pillars decorated with yellow lights.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 22, 54 ] ] }, { "id": 9035, "vid": "WEpnzfufxJQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man points out different areas in a square.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 12, 42 ] ] }, { "id": 5568, "vid": "eGBKPpkSoM0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman applies makeup while sitting in a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000110111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 48, 49, 50, 51, 52, 53, 54 ], "relevant_windows": [ [ 88, 92 ], [ 96, 110 ] ] }, { "id": 6469, "vid": "eGBKPpkSoM0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A modal is taking pictures with her fans\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 24, 38 ] ] }, { "id": 1312, "vid": "GOzEeIvLZO4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A happy couple takes their happy baby to a tree-lined riverside on a beautify sunny, windy, and cold day\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111111111111111111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 36, 148 ] ] }, { "id": 4061, "vid": "GOzEeIvLZO4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: They are driving through a somewhat green desert while music plays.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 5239, "vid": "GOzEeIvLZO4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks to the camera whilst riding on a coach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 0, 134 ] ] }, { "id": 7183, "vid": "GOzEeIvLZO4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man holds his kid in his arms.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 14, 56 ] ] }, { "id": 7454, "vid": "GOzEeIvLZO4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Water is running through a stream.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 54, 72 ] ] }, { "id": 1360, "vid": "Ehpo8gXg27I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A few cars are in a parking lot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111110000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 48, 66 ], [ 134, 150 ] ] }, { "id": 1568, "vid": "Ehpo8gXg27I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The two men are speaking while driving to their hotel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 22, 150 ] ] }, { "id": 2742, "vid": "Ehpo8gXg27I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Someone filming an airport parking lot and approaching a commercial building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 96, 132 ] ] }, { "id": 7332, "vid": "Ehpo8gXg27I_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are recording an airport runway with planes taking off\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 34, 82 ] ] }, { "id": 7567, "vid": "Ehpo8gXg27I_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two man in matching blue sweatshirts eat mcdonalds and walk together after.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 70, 88 ] ] }, { "id": 1875, "vid": "zY6XnLhTp7g_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist vlogger showing beautiful hotel building and sunset\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 10, 34 ] ] }, { "id": 4671, "vid": "zY6XnLhTp7g_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is arriving at a luxurious hotel with black marble covering all the walls.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 96, 126 ] ] }, { "id": 5407, "vid": "zY6XnLhTp7g_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman shows off her bikini.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 40, 56 ] ] }, { "id": 1909, "vid": "_9vleIcuQd0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A tourist in New York stops by a diner and a coffee shop\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 24, 38 ], [ 40, 78 ] ] }, { "id": 5748, "vid": "_9vleIcuQd0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman holds the camera up to the mirror while talking,\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111100110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 70, 71, 72, 73 ], "relevant_windows": [ [ 86, 134 ], [ 140, 148 ] ] }, { "id": 6393, "vid": "_9vleIcuQd0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman is speaking from the top of a building showing off the views.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 50, 86 ] ] }, { "id": 9369, "vid": "kgwvIEF1A9E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are protesting in Armenia against government\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011110000000011100000000000000000000000111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 31, 32, 33, 34, 35, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 28, 38 ], [ 62, 72 ], [ 140, 150 ] ] }, { "id": 9267, "vid": "OtVQCgxtjmE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A weather woman is motioning to show a large storm coming in on the map.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 0, 50 ] ] }, { "id": 10203, "vid": "8_RYMkPdpE8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mike Pence is sitting in front of a blue background.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111000011110000000011100000100010011000011100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 8, 9, 10, 11, 18, 19, 20, 21, 22, 23, 36, 37, 38, 39, 40, 48, 49, 54, 55, 59, 60, 61, 68, 69, 70, 71 ], "relevant_windows": [ [ 6, 14 ], [ 16, 24 ], [ 36, 48 ], [ 72, 82 ], [ 96, 100 ], [ 108, 112 ], [ 118, 124 ], [ 136, 144 ] ] }, { "id": 10240, "vid": "8_RYMkPdpE8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mike Pence speaks in front of a blue background with words on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10011111100001100001100010100000101000001110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 5, 6, 7, 8, 9, 11, 12, 19, 20, 21, 29, 30, 31, 36, 37, 39, 43, 48, 51, 52, 60, 61, 62, 63, 70 ], "relevant_windows": [ [ 0, 2 ], [ 10, 20 ], [ 22, 26 ], [ 38, 44 ], [ 58, 64 ], [ 72, 76 ], [ 78, 80 ], [ 86, 88 ], [ 96, 98 ], [ 102, 106 ], [ 120, 128 ], [ 140, 142 ] ] }, { "id": 2445, "vid": "8ghB2QPRORg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady making and eating a bread sandwich with egg\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3864, "vid": "8ghB2QPRORg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman squeezing a white food out of a bag and adding a red sauce to it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 5994, "vid": "8ghB2QPRORg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The person in the grey sweater sits down to eat a meal on a wooden plate.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 4630, "vid": "kY4Jm68gg38_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is biting and tasting different macarons and showing the insides of them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111111111111001100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 56, 57, 58 ], "relevant_windows": [ [ 48, 104 ], [ 112, 118 ] ] }, { "id": 5437, "vid": "kY4Jm68gg38_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A dark haired woman is ripping apart a flaky pastry and showing the inside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 44, 82 ] ] }, { "id": 6643, "vid": "kY4Jm68gg38_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with brown hair is eating a croissant in a cafe.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 48, 86 ] ] }, { "id": 244, "vid": "7cNySQnKFaE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: man giving reviews on truck\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3610, "vid": "7cNySQnKFaE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a black T-shirt and a cap is standing and talking besides a highway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 4946, "vid": "7cNySQnKFaE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black sits beside a woman in light blue beside a camper on on the pavement.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 66, 150 ] ] }, { "id": 8786, "vid": "7cNySQnKFaE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is talking about the RV life\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 2390, "vid": "h_73QmnwHaQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls taking a look at the fruits and make a 2 bowls of fruits with ice cream\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 5914, "vid": "h_73QmnwHaQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shows the bathroom in a hotel and talks about how much she likes it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 92, 114 ] ] }, { "id": 7627, "vid": "h_73QmnwHaQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People put on harnesses and safety gear.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 12, 50 ] ] }, { "id": 853, "vid": "xb-GHGr3s6k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two guys and a girl trying to cross the street\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 42, 66 ] ] }, { "id": 5406, "vid": "xb-GHGr3s6k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Friends receive their food from the waiter and eat it during their conversation.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 102, 132 ] ] }, { "id": 7846, "vid": "xb-GHGr3s6k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman flexes her muscles for photos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 118, 132 ] ] }, { "id": 101, "vid": "qaDShOiRe-0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl got a lot gifts from her parents\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111110111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 96, 112 ], [ 114, 128 ] ] }, { "id": 328, "vid": "qaDShOiRe-0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman carries plate in her hand.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000101111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 73 ], "relevant_windows": [ [ 86, 90 ], [ 94, 140 ], [ 146, 148 ] ] }, { "id": 4097, "vid": "qaDShOiRe-0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with pink top leans against a wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111110111110011100011111000001111000110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 30, 31, 32, 36, 37, 38, 39, 45, 46, 47, 48, 49, 50, 51, 52, 60, 61, 62, 63, 64, 65, 71, 72 ], "relevant_windows": [ [ 26, 48 ], [ 50, 56 ], [ 58, 66 ], [ 72, 80 ], [ 90, 106 ], [ 120, 132 ], [ 142, 146 ] ] }, { "id": 8386, "vid": "qaDShOiRe-0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man looks at a mobile phone while laying down.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000110111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 60, 66 ], [ 70, 100 ] ] }, { "id": 8730, "vid": "qaDShOiRe-0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman addresses the camera while alone\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 44, 62 ] ] }, { "id": 4917, "vid": "B1RpWUrs06U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little teenage girl packing for camping and taking us through what's on her travel list.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 68, 150 ] ] }, { "id": 5049, "vid": "B1RpWUrs06U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Empty fields with large dirt patches.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111000110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 61, 62, 63, 64 ], "relevant_windows": [ [ 100, 114 ], [ 122, 130 ] ] }, { "id": 6057, "vid": "B1RpWUrs06U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl is showing what she is packing to go to camp.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000011110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 0, 16 ], [ 26, 38 ] ] }, { "id": 7575, "vid": "B1RpWUrs06U_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A child is checking out a device with a yellow sink.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 54, 92 ] ] }, { "id": 8942, "vid": "B1RpWUrs06U_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is saying goodnight to his twin children in their bedroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 102, 150 ] ] }, { "id": 4226, "vid": "g614xfyWKoE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black woman with a blue pair of pants is shopping for carpets.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 10, 54 ] ] }, { "id": 5043, "vid": "g614xfyWKoE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman models her pink dress next to the bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 6139, "vid": "g614xfyWKoE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is vlogging her visit to CA Los Angles\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 6675, "vid": "g614xfyWKoE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black woman is modeling her pink guess dress in various poses.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 7308, "vid": "g614xfyWKoE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman walks up the stairs and into the store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 58, 72 ] ] }, { "id": 8065, "vid": "g614xfyWKoE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman sits indian style on the bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111000100011110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 53, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 80, 96 ], [ 106, 108 ], [ 118, 128 ] ] }, { "id": 8956, "vid": "g614xfyWKoE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: After shopping at some thrift stores, a woman poses for pictures in a rich neighborhood\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111111111111111011111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 14, 88 ], [ 90, 150 ] ] }, { "id": 1119, "vid": "lWO0pIpnmIw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Hand is dipping food in the sauce.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 4, 18 ] ] }, { "id": 3028, "vid": "lWO0pIpnmIw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A foreigner filming Indian sops and traffic\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 0, 26 ], [ 50, 78 ] ] }, { "id": 4310, "vid": "lWO0pIpnmIw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman has a red dot on her forehead while she's in a building with yellow walls.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011101111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 28, 36 ], [ 38, 60 ] ] }, { "id": 9216, "vid": "a4zc3WajznQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A building with a blue roof is almost entirely covered by torrential floods\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 56, 116 ] ] }, { "id": 1424, "vid": "kv3NheAKyb0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kids getting ready to go to school\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 0, 34 ] ] }, { "id": 1689, "vid": "kv3NheAKyb0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl in blue jacket sits in a white table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 12, 16 ], [ 126, 150 ] ] }, { "id": 4987, "vid": "kv3NheAKyb0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mom prepares card for kids lunch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 6, 30 ] ] }, { "id": 7065, "vid": "kv3NheAKyb0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple of children hop in the backseat of a driver's vehicle to join him.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 8855, "vid": "kv3NheAKyb0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three children are talking in front of the camera while they are sitting on a chair\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 80, 148 ] ] }, { "id": 430, "vid": "W4FSEuEgG-E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are having a party on the boat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111110010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 65, 66, 67, 68, 72 ], "relevant_windows": [ [ 118, 128 ], [ 130, 138 ], [ 144, 146 ] ] }, { "id": 3675, "vid": "W4FSEuEgG-E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman does her makeup routine.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 90, 150 ] ] }, { "id": 5029, "vid": "W4FSEuEgG-E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman does her makerup routine.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 122, 144 ] ] }, { "id": 7028, "vid": "W4FSEuEgG-E_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman orders a coffee and a salad.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 116, 132 ] ] }, { "id": 7061, "vid": "W4FSEuEgG-E_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman holds up a big white box.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 20, 21 ], "relevant_windows": [ [ 28, 38 ], [ 40, 44 ] ] }, { "id": 533, "vid": "DxIDKZHW3-E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A massage about mantel health\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111110111111111" } ], "video_timestamps": [ 1.3, 3.9, 6.5, 9.1, 11.6, 14.2, 16.8, 19.4, 22.0, 24.6, 27.2, 29.8, 32.3, 34.9, 37.5, 40.1, 42.7, 45.3, 47.9, 50.5, 53.1, 55.7, 58.3, 60.8, 63.4, 66.0, 68.6, 71.2, 73.8, 76.4, 79.0, 81.5, 84.1, 86.7, 89.3, 91.9, 94.5, 97.1, 99.7, 102.3, 104.9, 107.5, 110.0, 112.6, 115.2, 117.8, 120.4, 123.0, 125.6, 128.2 ], "duration": 130, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 0, 104 ], [ 106, 130 ] ] }, { "id": 2852, "vid": "DxIDKZHW3-E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An animation of a boy and a girl in uniforms walking on a park and talking about depression.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111000011000110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 54, 55, 56, 61, 62, 63 ], "relevant_windows": [ [ 78, 96 ], [ 108, 114 ], [ 122, 128 ] ] }, { "id": 655, "vid": "KSfxcXTfXDg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person holding a bucket stands around penguins in an enclosure.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111001000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 19, 20 ], "relevant_windows": [ [ 12, 32 ], [ 38, 42 ] ] }, { "id": 4303, "vid": "KSfxcXTfXDg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is walking through a zoo exhibit containing different exotic birds.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 4409, "vid": "KSfxcXTfXDg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different museum displays the vlogger went to.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000100000000001100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 39, 40, 56, 57 ], "relevant_windows": [ [ 0, 20 ], [ 78, 82 ], [ 112, 116 ] ] }, { "id": 81, "vid": "hoalP6K54Tk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Unboxing a package of energy drink\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 4, 74 ] ] }, { "id": 2540, "vid": "hoalP6K54Tk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is preparing a protein shake for herself.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 68, 150 ] ] }, { "id": 4892, "vid": "hoalP6K54Tk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young woman drinking a smoothie from a very large cup\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000100000001111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 60, 62 ], [ 84, 108 ] ] }, { "id": 8401, "vid": "hoalP6K54Tk_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman and a man ate a cake that she just baked.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111110111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 18, 48 ], [ 52, 86 ] ] }, { "id": 8691, "vid": "hoalP6K54Tk_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman walks into a grocery store and empties her basket of items after.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 32, 50 ] ] }, { "id": 3482, "vid": "yITWrNLEGLE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black head covering is standing between two portraits and gesturing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 90, 118 ] ] }, { "id": 5941, "vid": "yITWrNLEGLE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman looks at herself in a bathroom mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 60, 112 ] ] }, { "id": 6538, "vid": "yITWrNLEGLE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black hijab lying on the bed and summarize her trip.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 150 ] ] }, { "id": 9667, "vid": "tSWcHfTzuA0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman drives a car through the city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 9935, "vid": "tSWcHfTzuA0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Due to a past poisoning attempt, she will not eat food unless someone tries it first\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 86, 150 ] ] }, { "id": 10157, "vid": "tSWcHfTzuA0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with bulletproof vest holds a dog on a leash.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111000111010100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 33, 36, 39, 40 ], "relevant_windows": [ [ 30, 50 ], [ 60, 68 ], [ 72, 74 ], [ 78, 82 ] ] }, { "id": 9284, "vid": "J4pIK7YehhQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A fireman is standing on site reporting the situation on the ground near a firetruck on a road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111100000000000000" } ], "video_timestamps": [ 1.4, 4.1, 6.7, 9.4, 12.1, 14.8, 17.5, 20.2, 22.9, 25.6, 28.3, 31.0, 33.7, 36.4, 39.1, 41.7, 44.5, 47.1, 49.8, 52.5, 55.2, 57.9, 60.6, 63.3, 66.0, 68.7, 71.4, 74.1, 76.8, 79.5, 82.1, 84.9, 87.5, 90.2, 92.9, 95.6, 98.3, 101.0, 103.7, 106.4, 109.1, 111.8, 114.5, 117.2, 119.9, 122.5, 125.3, 127.9, 130.6, 133.3 ], "duration": 136, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 50, 96 ] ] }, { "id": 9657, "vid": "6JnES9tDKy8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Repeated animation showing the globe in red and white.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000110000000000001111100000000000000000011" } ], "video_timestamps": [ 1.4, 4.0, 6.6, 9.3, 12.0, 14.6, 17.3, 20.0, 22.6, 25.2, 27.9, 30.6, 33.2, 35.9, 38.5, 41.2, 43.9, 46.5, 49.2, 51.8, 54.5, 57.2, 59.8, 62.5, 65.1, 67.8, 70.5, 73.1, 75.8, 78.4, 81.1, 83.8, 86.4, 89.1, 91.8, 94.4, 97.1, 99.7, 102.4, 105.1, 107.7, 110.4, 113.0, 115.7, 118.4, 121.0, 123.6, 126.3, 129.0, 131.6 ], "duration": 134, "relevant_clip_ids": [ 15, 16, 33, 34, 35, 36, 37, 38, 39, 64, 65 ], "relevant_windows": [ [ 30, 34 ], [ 66, 80 ], [ 128, 132 ] ] }, { "id": 9954, "vid": "6JnES9tDKy8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A drone is flying in the sky.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111000000000000000000000000011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 72, 73, 74 ], "relevant_windows": [ [ 58, 68 ], [ 144, 150 ] ] }, { "id": 1183, "vid": "O3C0weLq0Tg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman look at her phone.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 50, 66 ] ] }, { "id": 4617, "vid": "O3C0weLq0Tg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls in bikinis hanging out on a floating structure on the ocean.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 6480, "vid": "O3C0weLq0Tg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two sisters fly to Fiji.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 9157, "vid": "O3C0weLq0Tg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women ride a jetski together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 72, 90 ] ] }, { "id": 3007, "vid": "DHHHHFojz3E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The people give a tour of their hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111110011100000010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 58, 59, 60, 61, 62, 72, 73 ], "relevant_windows": [ [ 86, 110 ], [ 116, 126 ], [ 144, 148 ] ] }, { "id": 5778, "vid": "DHHHHFojz3E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray top looks at statues.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 104, 116 ], [ 118, 130 ] ] }, { "id": 7787, "vid": "DHHHHFojz3E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People mess with the bull statues testicles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 100, 120 ] ] }, { "id": 9159, "vid": "DHHHHFojz3E_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red jacket sits next to a statue.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011110100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 66 ], "relevant_windows": [ [ 116, 128 ], [ 132, 134 ] ] }, { "id": 9737, "vid": "0q1jKhD8UZ0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A graph depicts penis size.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 10269, "vid": "0q1jKhD8UZ0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man walks around a factory with a worker in a safety vest before interviewing him.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011101100000111111111110011100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 19, 20, 21, 22, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 26, 36 ], [ 38, 46 ], [ 60, 80 ], [ 82, 92 ], [ 98, 108 ] ] }, { "id": 10294, "vid": "0q1jKhD8UZ0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Doctor is interviewed in their office.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001011100001111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 50, 51, 52, 53, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 94, 96 ], [ 100, 108 ], [ 120, 138 ] ] }, { "id": 2921, "vid": "6IO6lBl332U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl's showing her beauty products\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111000000111110111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 52, 53, 54, 55, 56, 57, 58, 59, 62, 63, 64, 65 ], "relevant_windows": [ [ 78, 86 ], [ 104, 120 ], [ 124, 132 ] ] }, { "id": 5036, "vid": "6IO6lBl332U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is preparing stocks using various pots and collianders.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 44, 60 ] ] }, { "id": 5375, "vid": "6IO6lBl332U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman monologues leaning against her padded headboard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10111001111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 2 ], [ 6, 16 ], [ 20, 150 ] ] }, { "id": 7236, "vid": "6IO6lBl332U_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl sits in front of her padded headboard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 0, 144 ] ] }, { "id": 370, "vid": "CXTWqVz5rhY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cows are drinking from the water trough.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 12, 60 ] ] }, { "id": 5224, "vid": "CXTWqVz5rhY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A background voice calls out the herd of cows as they grace in the field.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111100000000000110010000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 52, 53, 54, 55, 58, 59 ], "relevant_windows": [ [ 50, 72 ], [ 104, 112 ], [ 116, 120 ] ] }, { "id": 6046, "vid": "CXTWqVz5rhY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Horse's head seen walking down the trail.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100100100000000001001011111100000101100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 21, 22, 26, 42, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 66, 67, 69, 70, 71 ], "relevant_windows": [ [ 0, 36 ], [ 42, 46 ], [ 52, 54 ], [ 84, 88 ], [ 92, 96 ], [ 98, 118 ], [ 132, 136 ], [ 138, 144 ] ] }, { "id": 7044, "vid": "CXTWqVz5rhY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The horse walks up to the stream and takes a drink.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 8878, "vid": "CXTWqVz5rhY_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman stands by a horse while talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 98, 112 ] ] }, { "id": 9528, "vid": "W9px1LFMICg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with orange top points to things on a white board.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 9634, "vid": "W9px1LFMICg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man talks to camera and writes on the white board.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 9768, "vid": "W9px1LFMICg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in orange, black and white t-shirt is talking in front of the camera while moving his arms\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 1331, "vid": "t83PFfp4TFA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady displaying her decorated hand\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111101111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 28 ], [ 30, 44 ] ] }, { "id": 1487, "vid": "t83PFfp4TFA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl displaying here decorated hands\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 82, 150 ] ] }, { "id": 2518, "vid": "t83PFfp4TFA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People getting in mall in South India\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111111111111111111" } ], "video_timestamps": [ 1.3, 3.9, 6.6, 9.2, 11.8, 14.4, 17.1, 19.7, 22.4, 25.0, 27.6, 30.2, 32.9, 35.5, 38.2, 40.8, 43.4, 46.0, 48.7, 51.3, 53.9, 56.5, 59.2, 61.8, 64.4, 67.1, 69.7, 72.4, 75.0, 77.6, 80.2, 82.9, 85.5, 88.1, 90.8, 93.4, 96.0, 98.6, 101.3, 103.9, 106.6, 109.2, 111.8, 114.4, 117.1, 119.7, 122.4, 125.0, 127.6, 130.2 ], "duration": 132, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 62, 132 ] ] }, { "id": 1755, "vid": "JHiLEkV8l_8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men cut up and spray paint a gym floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000101111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 34, 36 ], [ 40, 80 ] ] }, { "id": 5364, "vid": "JHiLEkV8l_8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A checkout clerk wearing a red apron talking to the costumers\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111010000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23 ], "relevant_windows": [ [ 18, 42 ], [ 44, 48 ] ] }, { "id": 3307, "vid": "109g6BhejP0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked airport worker helps the videographer.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 24, 54 ] ] }, { "id": 4457, "vid": "109g6BhejP0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Flight widow view of flying and landing\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 42, 70 ] ] }, { "id": 6288, "vid": "109g6BhejP0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black man in a red sweater is sprawling around in bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111110000" } ], "video_timestamps": [ 1.3, 3.8, 6.3, 8.8, 11.3, 13.8, 16.3, 18.8, 21.3, 23.8, 26.3, 28.8, 31.3, 33.8, 36.3, 38.8, 41.3, 43.9, 46.4, 48.9, 51.4, 53.9, 56.4, 58.9, 61.4, 63.9, 66.4, 68.9, 71.4, 73.9, 76.4, 78.9, 81.4, 83.9, 86.4, 88.9, 91.4, 93.9, 96.5, 99.0, 101.5, 104.0, 106.5, 109.0, 111.5, 114.0, 116.5, 119.0, 121.5, 124.0 ], "duration": 126, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 68, 116 ] ] }, { "id": 10050, "vid": "mEqAtcljxHc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A cricket team with a red uniform is celebrating a win on the field.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 36, 50 ] ] }, { "id": 10242, "vid": "mEqAtcljxHc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cricket team in red congratulates each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000110000001110000000000000000" } ], "video_timestamps": [ 1.3, 3.7, 6.2, 8.7, 11.1, 13.6, 16.1, 18.5, 21.0, 23.5, 26.0, 28.5, 31.0, 33.5, 35.9, 38.4, 40.9, 43.3, 45.8, 48.3, 50.7, 53.2, 55.7, 58.1, 60.6, 63.1, 65.6, 68.0, 70.5, 73.0, 75.5, 78.0, 80.5, 82.9, 85.4, 87.9, 90.3, 92.8, 95.3, 97.8, 100.2, 102.7, 105.2, 107.6, 110.1, 112.6, 115.0, 117.5, 120.0, 122.5 ], "duration": 124, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 28, 29, 30, 38, 39, 40, 41 ], "relevant_windows": [ [ 8, 28 ], [ 56, 62 ], [ 76, 84 ] ] }, { "id": 3173, "vid": "ngen9r1T-5w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: men teaching techniques to make quality videos and pictures from iPhone\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3229, "vid": "ngen9r1T-5w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: White man giving some tips to use iPhone camera for pictures\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 48, 150 ] ] }, { "id": 5469, "vid": "ngen9r1T-5w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in white top sits on a park bench.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10011100001111111111111111111001110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 4, 5, 6, 7, 8, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 47, 48, 49, 50 ], "relevant_windows": [ [ 0, 4 ], [ 8, 18 ], [ 30, 88 ], [ 94, 102 ] ] }, { "id": 2264, "vid": "Z8MR9i08l6g_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in hoodie holds the camera like she's taking a selfie.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 88, 114 ] ] }, { "id": 3005, "vid": "Z8MR9i08l6g_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian couple sharing some awesome dinner video during flight\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 88, 114 ] ] }, { "id": 5392, "vid": "Z8MR9i08l6g_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk through the airport together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 46, 78 ] ] }, { "id": 4608, "vid": "gHFQWFXfRgQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A salesman showing a green saree to a customer\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 106, 142 ] ] }, { "id": 5817, "vid": "gHFQWFXfRgQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two women in blue and beige robe are dressing the woman in a green and yellow robe\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 0, 86 ] ] }, { "id": 6875, "vid": "gHFQWFXfRgQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is folding a sheet made of green fabric.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 1616, "vid": "XzxRMH7G8Lk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man holding a little snake on his hand\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 50, 72 ] ] }, { "id": 4900, "vid": "XzxRMH7G8Lk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is talking in a room with plants decorating it in a yellow shirt that says bananas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 10, 28 ] ] }, { "id": 5097, "vid": "XzxRMH7G8Lk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with gray pants is kneeling next to a large lizard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111000100010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 64, 66, 67, 72, 73 ], "relevant_windows": [ [ 94, 124 ], [ 128, 130 ], [ 132, 136 ], [ 144, 148 ] ] }, { "id": 8650, "vid": "XzxRMH7G8Lk_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in blue is handling a snake with a marbled pattern.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 0, 50 ] ] }, { "id": 1021, "vid": "nrIoV2MDhN0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked woman walks around the city while having her red hood up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111110011111110001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 62, 92 ], [ 100, 120 ], [ 130, 150 ] ] }, { "id": 3026, "vid": "nrIoV2MDhN0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person wearing a white mask and read hood walking along a street and through a mall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11101111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 8 ], [ 12, 26 ] ] }, { "id": 6571, "vid": "nrIoV2MDhN0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: There is a shot of the dome of the first skyscraper of Boston.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 90, 108 ] ] }, { "id": 2513, "vid": "Lc4D95BLgXI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy in black top lies on a blanket on the rooftop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 102, 128 ] ] }, { "id": 2721, "vid": "Lc4D95BLgXI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The chef dices the vegetables.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 100, 128 ] ] }, { "id": 5060, "vid": "Lc4D95BLgXI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in a black jacket washes a saucepan on the floor\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 84, 124 ] ] }, { "id": 6977, "vid": "Lc4D95BLgXI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is caramelizing onions in a deep stainless steel pan.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 2 ], [ 4, 16 ] ] }, { "id": 8314, "vid": "Lc4D95BLgXI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady is handing the noodle dishes to the guests.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 9325, "vid": "kBxxo04zr98_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A TV news program reports people were lining up for a park spigot that had water pressure during a drought\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 2578, "vid": "UaYhvOSmzNc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady organising her kitchen and started cooking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 120, 150 ] ] }, { "id": 3811, "vid": "UaYhvOSmzNc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is adding pumpkin seeds to the dish she is making.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 34, 56 ] ] }, { "id": 6266, "vid": "UaYhvOSmzNc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman vacuums rug in living room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 42, 68 ] ] }, { "id": 7477, "vid": "UaYhvOSmzNc_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman cleans up the kitchen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 122, 142 ] ] }, { "id": 8442, "vid": "UaYhvOSmzNc_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is adding tomatoes to a pan with other ingedients and stirring it into a red sauce.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 96, 120 ] ] }, { "id": 919, "vid": "NM0rYteX0DU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby is wrapped in the stroller inside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 66, 80 ] ] }, { "id": 8151, "vid": "NM0rYteX0DU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The contents of a child's baggage are shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 8188, "vid": "NM0rYteX0DU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kid walks around a backyard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111101000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 55, 56 ], "relevant_windows": [ [ 94, 108 ], [ 110, 114 ] ] }, { "id": 1052, "vid": "X3B-d-QsWXY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue shirt drives the yellow car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 118, 136 ] ] }, { "id": 7830, "vid": "X3B-d-QsWXY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The driver of a rickshaw is explaining something about the location to a rider.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 68, 106 ] ] }, { "id": 7975, "vid": "X3B-d-QsWXY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian woman eats food on the train.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 24, 52 ] ] }, { "id": 621, "vid": "EwItjBAwCbQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray top is walking around a garden.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 6, 36 ] ] }, { "id": 3133, "vid": "EwItjBAwCbQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A montage plays to show off an area where nearly everything is made of salt with music blaring in the backgorund.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111000000000000000000000111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 34, 70 ], [ 132, 146 ] ] }, { "id": 4649, "vid": "EwItjBAwCbQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple exploring ancient buildings\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11110111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 12 ], [ 14, 150 ] ] }, { "id": 825, "vid": "SD3Rg6hTEzw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman looks at their phone while a man talks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 96, 120 ] ] }, { "id": 1115, "vid": "SD3Rg6hTEzw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man holds up a steady cam to the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 72, 94 ] ] }, { "id": 3215, "vid": "SD3Rg6hTEzw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian man wearing a cap without glasses walks through a airport.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000101111110000100000000011000000110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 44, 49, 59, 60, 61, 70, 71, 72, 73 ], "relevant_windows": [ [ 52, 54 ], [ 58, 76 ], [ 88, 90 ], [ 98, 100 ], [ 118, 124 ], [ 140, 148 ] ] }, { "id": 10091, "vid": "yDu6jiOdj80_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Donald Trump speaks sitting in a large circular table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111100001111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 36, 54 ], [ 66, 80 ] ] }, { "id": 10220, "vid": "yDu6jiOdj80_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Drone shots of a vast desert.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111101100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 60, 61, 62 ], "relevant_windows": [ [ 106, 116 ], [ 120, 126 ] ] }, { "id": 10289, "vid": "yDu6jiOdj80_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk by an Apple store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 14, 28 ] ] }, { "id": 4219, "vid": "jga6urWEs7Y_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman wears a large gray scarf with a red top.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 7629, "vid": "jga6urWEs7Y_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in white leggings is doing work outs at the gym.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 72, 104 ] ] }, { "id": 8019, "vid": "jga6urWEs7Y_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman holds up small apples.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 2, 18 ] ] }, { "id": 2024, "vid": "ebCzdax-fjA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couples arrived at juggle in south India for picnic\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 78, 104 ] ] }, { "id": 2103, "vid": "ebCzdax-fjA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of friends are recording themselves on a typical day in their country\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 4320, "vid": "ebCzdax-fjA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three people are riding in the back of a van.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41 ], "relevant_windows": [ [ 50, 74 ], [ 76, 84 ] ] }, { "id": 8981, "vid": "ebCzdax-fjA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Logo of the series movies over photos of the woman.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.4, 4.1, 6.9, 9.6, 12.4, 15.1, 17.9, 20.7, 23.4, 26.2, 28.9, 31.7, 34.4, 37.2, 40.0, 42.7, 45.5, 48.2, 51.0, 53.7, 56.5, 59.2, 62.0, 64.7, 67.5, 70.3, 73.0, 75.8, 78.5, 81.3, 84.0, 86.8, 89.5, 92.3, 95.0, 97.8, 100.6, 103.3, 106.1, 108.8, 111.6, 114.3, 117.1, 119.8, 122.6, 125.3, 128.1, 130.8, 133.6, 136.4 ], "duration": 138, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 120, 138 ] ] }, { "id": 4266, "vid": "0zDV_cVzPiI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian girl wearing a white face mask with a heart on it walking on the street\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111100000111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 90, 108 ], [ 124, 142 ] ] }, { "id": 6590, "vid": "0zDV_cVzPiI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Phones are being screencast on a smart TV that is hanging on the wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111110001111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 46, 74 ], [ 84, 132 ] ] }, { "id": 6656, "vid": "0zDV_cVzPiI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman in a green jacket films her outfits on the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 32, 60 ] ] }, { "id": 9684, "vid": "5wDSfYr9bgU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A marching band marches their way down the street during a parade.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 76, 92 ] ] }, { "id": 10033, "vid": "5wDSfYr9bgU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People vote in little cubicles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 86, 100 ] ] }, { "id": 10229, "vid": "5wDSfYr9bgU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Sailors in white uniform are marching down a street in a parade together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 12, 28 ] ] }, { "id": 922, "vid": "iJmrusvmEns_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with pink mohawk vlogs by herself.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000100101101111000000000000000000110100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 5, 6, 7, 16, 17, 21, 24, 25, 26, 29, 30, 31, 32, 33, 34, 61, 62, 63, 66, 70 ], "relevant_windows": [ [ 0, 8 ], [ 10, 16 ], [ 32, 36 ], [ 42, 44 ], [ 48, 54 ], [ 58, 70 ], [ 122, 128 ], [ 132, 134 ], [ 140, 142 ] ] }, { "id": 6797, "vid": "iJmrusvmEns_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with black top and pink hair is describing her trip.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100010001100000000111000110000100011111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 9, 15, 16, 17, 22, 30, 31, 32, 33, 39, 40, 41, 48, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 2, 8 ], [ 18, 20 ], [ 30, 36 ], [ 44, 46 ], [ 60, 68 ], [ 78, 84 ], [ 96, 98 ], [ 108, 148 ] ] }, { "id": 8075, "vid": "iJmrusvmEns_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women with mohawk sits in front of a large neon sign.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001000110000100100100111111111100001100100011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 17, 18, 19, 22, 26, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 60, 61, 62, 66, 72, 73, 74 ], "relevant_windows": [ [ 20, 24 ], [ 34, 40 ], [ 44, 46 ], [ 52, 54 ], [ 60, 64 ], [ 68, 72 ], [ 78, 92 ], [ 94, 108 ], [ 120, 126 ], [ 132, 134 ], [ 144, 150 ] ] }, { "id": 9590, "vid": "GizQlpAvD8s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A animation is showing sacks of money dropping down alongside everyday objects.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 134, 150 ] ] }, { "id": 10131, "vid": "GizQlpAvD8s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Barack Obama is giving a speech in front of two american flags.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011011110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 62, 68 ], [ 72, 84 ] ] }, { "id": 10200, "vid": "GizQlpAvD8s_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cartoon of a man in a gray suit talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 4, 30 ] ] }, { "id": 3748, "vid": "vNkDq7WcfxE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl calling her cute dog on coming back at home\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 98, 126 ] ] }, { "id": 6132, "vid": "vNkDq7WcfxE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A Korean woman goes to a clinic for and lies on a bed getting Geneo treament.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 72, 100 ] ] }, { "id": 2640, "vid": "gcrsfhqTmmk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy talking from a house\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3916, "vid": "gcrsfhqTmmk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: V logger sharing some footage from hotel room and his plan for the day\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 4477, "vid": "VoK0IcmS_5I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vlogger gives a tour of their hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 54, 88 ] ] }, { "id": 5623, "vid": "VoK0IcmS_5I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two women smash plates during an evening dinner entertainment event.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 40, 62 ] ] }, { "id": 5790, "vid": "VoK0IcmS_5I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man being filmed from the backseat of a car while driving through the city\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 116, 138 ] ] }, { "id": 2097, "vid": "8v4IP_PI8AE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman sit next to each other on a plane.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 20, 78 ] ] }, { "id": 2267, "vid": "8v4IP_PI8AE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A vlogger applies an avocado mask while waiting at an airport\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 20, 62 ] ] }, { "id": 3279, "vid": "8v4IP_PI8AE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black woman wears gold sunglasses while in a airport lobby.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47 ], "relevant_windows": [ [ 64, 92 ], [ 94, 96 ] ] }, { "id": 934, "vid": "wk2CeU_DcBo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk through the park sidewalk together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 4393, "vid": "wk2CeU_DcBo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk down the street together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111101111111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 8, 54 ], [ 58, 98 ] ] }, { "id": 6512, "vid": "wk2CeU_DcBo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and woman take turns tasting cold soup, during a food tour.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 4, 56 ] ] }, { "id": 9579, "vid": "hYGAJNV6eYY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue top speaks next to a neon sign.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 28, 52 ] ] }, { "id": 9987, "vid": "hYGAJNV6eYY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black dress with bangs is reporting from in front of a busy highway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 92, 106 ] ] }, { "id": 10103, "vid": "hYGAJNV6eYY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A bald man in a black shirt discusses Coronavirus testing\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000001100000000111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 42, 43, 44, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 52, 70 ], [ 84, 90 ], [ 114, 128 ] ] }, { "id": 338, "vid": "VRoXu96WlbM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young girl is sitting on the couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 2, 18 ] ] }, { "id": 1717, "vid": "VRoXu96WlbM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young girl apply some makeup on her doll\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000010001111111110000000000000001111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 36, 40 ], [ 48, 76 ], [ 120, 134 ] ] }, { "id": 5198, "vid": "VRoXu96WlbM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mom holds baby doll in her arms.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 26, 44 ] ] }, { "id": 6896, "vid": "VRoXu96WlbM_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman drives a car with her children in the back.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 98, 120 ] ] }, { "id": 8274, "vid": "VRoXu96WlbM_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl eats a Brussel Sprout and reacts badly whilst her mother raises a toast.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 436, "vid": "-gNwItPwMhM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl stands in front of a glass building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 124, 140 ] ] }, { "id": 3796, "vid": "-gNwItPwMhM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl relaxes in bed after her day and talks to the camera led down.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 106, 150 ] ] }, { "id": 9231, "vid": "rwvwrgx9cTo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black suit is talking in front of a camera about weather forecast\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 0, 66 ] ] }, { "id": 9283, "vid": "rwvwrgx9cTo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Weather broadcaster briefing about snowy weather in graph\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 72, 96 ] ] }, { "id": 389, "vid": "uSAGSbauHBs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is talking in front of a large pile of antlers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 38, 52 ] ] }, { "id": 2897, "vid": "uSAGSbauHBs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person is showing off a huge collection of antlers and skulls.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 42, 150 ] ] }, { "id": 5372, "vid": "uSAGSbauHBs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray tank holds up black device.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 4, 18 ] ] }, { "id": 8661, "vid": "uSAGSbauHBs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy with grey tank top is showing around his work place.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111100001111" } ], "video_timestamps": [ 1.5, 4.5, 7.4, 10.4, 13.4, 16.4, 19.4, 22.3, 25.3, 28.3, 31.2, 34.2, 37.2, 40.2, 43.2, 46.1, 49.1, 52.0, 55.0, 58.0, 61.0, 64.0, 66.9, 69.9, 72.9, 75.9, 78.8, 81.8, 84.8, 87.8, 90.7, 93.7, 96.7, 99.6, 102.6, 105.6, 108.6, 111.6, 114.5, 117.5, 120.4, 123.4, 126.4, 129.4, 132.4, 135.4, 138.3, 141.3, 144.2, 147.2 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 92, 124 ], [ 138, 150 ] ] }, { "id": 3769, "vid": "N5g7D9Qk7WI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teenager having subway and giving reviews\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 86, 144 ] ] }, { "id": 4069, "vid": "N5g7D9Qk7WI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a black coat with a black and red hat is holding a saxophone while sitting on a bridge.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11101111111111111110011111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 0, 10 ], [ 12, 58 ], [ 64, 130 ] ] }, { "id": 5152, "vid": "N5g7D9Qk7WI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A boy looks at instagram profiles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 7338, "vid": "N5g7D9Qk7WI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Security members wearing red vest stand in a row beside fans at a stadium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 73, 74 ], "relevant_windows": [ [ 132, 142 ], [ 146, 150 ] ] }, { "id": 8537, "vid": "N5g7D9Qk7WI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little boy with the grey hat is walking down the street\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 74 ], "relevant_windows": [ [ 0, 18 ], [ 148, 150 ] ] }, { "id": 3634, "vid": "hpcc5pGNKZk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man showing the set up of a tent.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 100, 148 ] ] }, { "id": 3678, "vid": "hpcc5pGNKZk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: man in the cap he talking about thanks giving day and Christmas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 112, 150 ] ] }, { "id": 5182, "vid": "hpcc5pGNKZk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a grey sweatshirt and black hat is walking in a park speaking to the camera and wishing his audience a happy thanksgiving\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 7014, "vid": "hpcc5pGNKZk_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with backwards cap walks by trees in winter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 126, 146 ] ] }, { "id": 7309, "vid": "hpcc5pGNKZk_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man sets his drone on the ground and prepares to fly it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 2770, "vid": "QQeXn_WIfQ8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man with long hair is petting and sitting beside a large lizard in a terrarium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111111100001111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 24, 72 ], [ 84, 96 ] ] }, { "id": 4832, "vid": "QQeXn_WIfQ8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man looks through plastic bins.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000110011010000101011110000110011100000111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 22, 23, 24, 27, 28, 34, 35, 37, 38, 40, 41, 42, 43, 44, 45, 46, 53, 54, 59, 60, 61, 62, 71, 72, 73, 74 ], "relevant_windows": [ [ 32, 40 ], [ 44, 50 ], [ 54, 58 ], [ 68, 72 ], [ 74, 78 ], [ 80, 94 ], [ 106, 110 ], [ 118, 126 ], [ 142, 150 ] ] }, { "id": 6254, "vid": "QQeXn_WIfQ8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is showing different reptiles\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7284, "vid": "QQeXn_WIfQ8_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing light blue is holding a large white and yellow snake.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000010111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 90, 94 ], [ 96, 142 ] ] }, { "id": 8929, "vid": "QQeXn_WIfQ8_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man handles a two headed snake.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 108, 146 ] ] }, { "id": 9763, "vid": "A6U90Hon6bE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An older gray haired man is being interviewed by a woman in a scarf.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 150 ] ] }, { "id": 9942, "vid": "A6U90Hon6bE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The Honorable Jackie Speier is speaking at some sort of conference at a podium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111100110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 26, 27 ], "relevant_windows": [ [ 22, 44 ], [ 52, 56 ] ] }, { "id": 10176, "vid": "A6U90Hon6bE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black man in a black top is unloaded a truck and hanging up a banner.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 110, 128 ] ] }, { "id": 222, "vid": "Piw-9dOC8YQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A teacher is writing on a white board.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 102, 116 ] ] }, { "id": 3663, "vid": "Piw-9dOC8YQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in blue top sits in front of a computer.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000110000000000011000100000000000111100000001001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 8, 9, 27, 28, 29, 35, 53, 54, 55, 56, 57, 69, 70, 73, 74 ], "relevant_windows": [ [ 8, 10 ], [ 16, 20 ], [ 54, 60 ], [ 70, 72 ], [ 106, 116 ], [ 138, 142 ], [ 146, 150 ] ] }, { "id": 4157, "vid": "Piw-9dOC8YQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teacher and student writing on a electronic whiteboard\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100000000000000000000000011011000111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 41, 42, 45, 46, 47, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 4, 10 ], [ 82, 86 ], [ 90, 96 ], [ 104, 116 ] ] }, { "id": 8348, "vid": "Piw-9dOC8YQ_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An passionate art teacher narrates a video of herself teaching her afternoon art class\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 76, 150 ] ] }, { "id": 8646, "vid": "Piw-9dOC8YQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman energises a group of people to excersise and be fitter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 76, 90 ] ] }, { "id": 321, "vid": "FaF3OJ5e_vE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A panel is talking in a auditorium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 52, 94 ] ] }, { "id": 1671, "vid": "FaF3OJ5e_vE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman sits on a bed and watches videos of herself while making comments.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 0, 128 ] ] }, { "id": 2537, "vid": "FaF3OJ5e_vE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in white shirt talks with a smaller video of her in a blue top plays in the bottom right corner.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 86, 92 ], [ 94, 150 ] ] }, { "id": 8681, "vid": "FaF3OJ5e_vE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman wearing a yellow t-shirt walking around the house and pointing her finger to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 9885, "vid": "_0u5I0OJP6U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A persdon driving a black car in a video game\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111110000000000" } ], "video_timestamps": [ 1.3, 3.9, 6.5, 9.1, 11.7, 14.3, 16.9, 19.5, 22.1, 24.7, 27.3, 29.9, 32.5, 35.1, 37.7, 40.3, 42.9, 45.5, 48.2, 50.8, 53.3, 56.0, 58.5, 61.2, 63.8, 66.4, 68.9, 71.6, 74.1, 76.8, 79.4, 81.9, 84.6, 87.2, 89.8, 92.4, 95.0, 97.6, 100.2, 102.8, 105.4, 108.0, 110.6, 113.2, 115.8, 118.4, 121.0, 123.6, 126.2, 128.8 ], "duration": 130, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 0, 20 ], [ 22, 104 ] ] }, { "id": 10056, "vid": "_0u5I0OJP6U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Red car drives around in a video game.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111100000000000000000001110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 65, 66, 67, 68 ], "relevant_windows": [ [ 48, 72 ], [ 130, 138 ] ] }, { "id": 571, "vid": "T9ptpjvuIP8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk through a glass tunnel together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001100111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 30, 36 ], [ 42, 58 ] ] }, { "id": 1952, "vid": "T9ptpjvuIP8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman head through a glass walkway together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001100111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 30, 36 ], [ 42, 58 ] ] }, { "id": 2656, "vid": "T9ptpjvuIP8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family drives down the road together talking about the sights along the way.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 118, 142 ] ] }, { "id": 4230, "vid": "T9ptpjvuIP8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man, women, and children are in a car and speaking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 120, 142 ] ] }, { "id": 6162, "vid": "T9ptpjvuIP8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple try to tell the story of their failed cruise but are interrupted by each other and their child\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 24 ], [ 26, 44 ] ] }, { "id": 7432, "vid": "T9ptpjvuIP8_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk down a hallway and stairs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 120, 138 ] ] }, { "id": 8101, "vid": "T9ptpjvuIP8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue top talks to a woman behind him.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000011000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 18, 19, 20 ], "relevant_windows": [ [ 0, 24 ], [ 36, 42 ] ] }, { "id": 8419, "vid": "T9ptpjvuIP8_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with a cap is holding a camera and a kid in blue t-shirt is describing their trip.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 74, 122 ] ] }, { "id": 1827, "vid": "XWLHTkh1fAI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black and white video showing two close friends near each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 56, 94 ] ] }, { "id": 5513, "vid": "XWLHTkh1fAI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Video of a van driving through a busy city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 26, 70 ] ] }, { "id": 5797, "vid": "XWLHTkh1fAI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Overhead view of clam pasta.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 32, 56 ] ] }, { "id": 8976, "vid": "XWLHTkh1fAI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in white ties knots into string.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111000111111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 70, 78 ], [ 88, 114 ] ] }, { "id": 9052, "vid": "XWLHTkh1fAI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: people have fun and dance\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 102, 126 ] ] }, { "id": 2755, "vid": "MNmYbLZ9Z_U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man talking about trucks in his parked truck\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110111111101111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 0, 22 ], [ 24, 46 ], [ 48, 68 ] ] }, { "id": 4122, "vid": "MNmYbLZ9Z_U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A palette full of boxes shrink wrapped together is loaded onto a moving truck.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 96, 150 ] ] }, { "id": 4786, "vid": "MNmYbLZ9Z_U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A driver pulls up and stops behind a blue truck\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 0, 42 ] ] }, { "id": 8287, "vid": "MNmYbLZ9Z_U_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The worker lifts the crate further into the truck.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 0, 8 ], [ 10, 42 ] ] }, { "id": 8565, "vid": "MNmYbLZ9Z_U_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is filling his truck fuel tank at the gas station\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 50, 150 ] ] }, { "id": 1718, "vid": "PWdPLZvdO_I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The camera is submerged in the water filming the ocean and divers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 42, 102 ] ] }, { "id": 4839, "vid": "PWdPLZvdO_I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People hiking a rocky mountain trail\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000000111101100000000000000000001110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 17, 18, 19, 20, 21, 22, 24, 25, 26, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 0, 8 ], [ 34, 46 ], [ 48, 54 ], [ 110, 120 ] ] }, { "id": 5275, "vid": "PWdPLZvdO_I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A team wearing matching black wetsuits are standing in a row together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 110, 132 ] ] }, { "id": 4080, "vid": "BVRBR8LSk9w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Brunette woman walks through a lobby with a woman with a hood.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001011110001100110000111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 45, 47, 48, 49, 50, 56, 57, 58, 62, 63, 71, 72, 73, 74 ], "relevant_windows": [ [ 84, 88 ], [ 90, 92 ], [ 94, 102 ], [ 112, 118 ], [ 124, 128 ], [ 142, 150 ] ] }, { "id": 4856, "vid": "BVRBR8LSk9w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen boy in yellow top puts on Chapstick.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 112, 126 ] ] }, { "id": 6163, "vid": "BVRBR8LSk9w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl holds a teddy bear.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 7390, "vid": "BVRBR8LSk9w_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is wearing purple bunny ears.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001110011111111111001111111111111111111111000010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 72 ], "relevant_windows": [ [ 12, 14 ], [ 16, 20 ], [ 28, 60 ], [ 66, 132 ], [ 144, 146 ] ] }, { "id": 2647, "vid": "iH1-Z6eB2cY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman holds a makeup brush and palette and applies it to her face.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011000110000000000000000001111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 12, 13, 14, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 8, 16 ], [ 24, 30 ], [ 84, 112 ] ] }, { "id": 2695, "vid": "iH1-Z6eB2cY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl's applying a face make up\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 62, 150 ] ] }, { "id": 3898, "vid": "iH1-Z6eB2cY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady cuddling her dogs at outdoors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111100001000000000100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 29, 43, 44 ], "relevant_windows": [ [ 18, 46 ], [ 50, 52 ], [ 58, 60 ], [ 86, 90 ] ] }, { "id": 6992, "vid": "iH1-Z6eB2cY_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman uses hair spray in her hair then brushes it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 64, 82 ] ] }, { "id": 8293, "vid": "iH1-Z6eB2cY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman in white robe is showing how she makeup herself in front of the camera as well as the products that she uses\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111111111111111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 12, 96 ] ] }, { "id": 4116, "vid": "Upou7XP_KoM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A soccer team is on the field practicing with different colored jerseys on.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 84, 128 ] ] }, { "id": 4972, "vid": "Upou7XP_KoM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a blue top eats food in a busy caf\u00e9.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 2173, "vid": "smUAWKLhWnA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with backpack walks down a city street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111101111110111110000000000000001000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 60, 67, 68, 69, 70, 71, 72, 74 ], "relevant_windows": [ [ 24, 36 ], [ 40, 56 ], [ 60, 76 ], [ 120, 122 ], [ 134, 146 ], [ 148, 150 ] ] }, { "id": 6358, "vid": "smUAWKLhWnA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is touring what appears to be a Buddhist religious site covered with golden decorations.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111110011111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 52, 94 ], [ 98, 130 ] ] }, { "id": 7666, "vid": "smUAWKLhWnA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue helmet rides on motorcycle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011100011010011000011110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 14, 15, 18, 19, 22, 23, 24, 25, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 8, 18 ], [ 28, 32 ], [ 36, 40 ], [ 44, 52 ], [ 64, 74 ] ] }, { "id": 9440, "vid": "zLE54q_lnI4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man dressed in a black suit sitting next to a defendant takes notes as he listens to the verdict.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 9289, "vid": "DTmMy3eNsvI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men are helping to push a stuck sedan out of the snow and interview the driver afterward.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 150 ] ] }, { "id": 1436, "vid": "tb6Br2F4KQM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man shows off different things in his house.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111011101011100000010000000011000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 20, 23, 24, 25, 26, 36, 37, 40, 50, 51, 52 ], "relevant_windows": [ [ 2, 24 ], [ 28, 36 ], [ 40, 42 ], [ 46, 54 ], [ 72, 76 ], [ 80, 82 ], [ 100, 106 ] ] }, { "id": 3731, "vid": "tb6Br2F4KQM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red top walks around a white house.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000100110011000000000100001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 25, 26, 27, 31, 32, 33, 34, 48, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 42, 44 ], [ 50, 56 ], [ 62, 70 ], [ 96, 98 ], [ 110, 150 ] ] }, { "id": 5058, "vid": "tb6Br2F4KQM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen boy in white tank shows what is in a bag.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 74, 90 ] ] }, { "id": 7548, "vid": "tb6Br2F4KQM_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A fluffy white dog is playing near the grill and getting his own meal at the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011001000110001101000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 28, 29, 34, 35, 36, 37, 42, 44, 46, 47 ], "relevant_windows": [ [ 46, 52 ], [ 56, 60 ], [ 68, 76 ], [ 84, 86 ], [ 88, 90 ], [ 92, 96 ] ] }, { "id": 9779, "vid": "HpLaAf1xhRA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are injured in the back of trucks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011000000000011001110000000000000000000000" } ], "video_timestamps": [ 1.3, 3.9, 6.5, 9.1, 11.7, 14.3, 16.9, 19.5, 22.1, 24.8, 27.4, 30.0, 32.6, 35.2, 37.8, 40.4, 43.0, 45.6, 48.2, 50.8, 53.4, 56.0, 58.6, 61.2, 63.8, 66.5, 69.1, 71.7, 74.3, 76.9, 79.5, 82.1, 84.7, 87.3, 89.9, 92.5, 95.1, 97.7, 100.3, 102.9, 105.5, 108.1, 110.7, 113.3, 115.9, 118.5, 121.1, 123.7, 126.3, 129.0 ], "duration": 130, "relevant_clip_ids": [ 12, 13, 27, 28, 29, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 24, 28 ], [ 54, 60 ], [ 64, 74 ] ] }, { "id": 3194, "vid": "xqe9FSBJDx0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl trying different colourful foods\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111011100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 108, 132 ], [ 134, 144 ] ] }, { "id": 5428, "vid": "xqe9FSBJDx0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman monologues outside a large building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 104, 144 ] ] }, { "id": 6383, "vid": "xqe9FSBJDx0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two friends went out shopping for clothes.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 114, 142 ] ] }, { "id": 597, "vid": "gTAvxnQtjXM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a white t shirt wearing a backpack is showing a nearby cathedral.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 1626, "vid": "gTAvxnQtjXM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with white t shirt stands in front of a ornate European building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 5976, "vid": "k4cmv7wjjt0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Underwater shot of a woman swimming in a red bathing suit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 56, 82 ] ] }, { "id": 7707, "vid": "k4cmv7wjjt0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is swimming on the surface of a pool with natural rock features around it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 7782, "vid": "k4cmv7wjjt0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger travels over red bridges.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111101000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 42 ], "relevant_windows": [ [ 64, 80 ], [ 84, 86 ] ] }, { "id": 2202, "vid": "E75GN8GXDP4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The old statues have butterflies on them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00101110111011111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 6, 7, 8, 9, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 6, 10 ], [ 12, 20 ], [ 24, 32 ], [ 36, 76 ] ] }, { "id": 3100, "vid": "E75GN8GXDP4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman being filmed in a mask alongside a lush green natural scene.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 6809, "vid": "E75GN8GXDP4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A women walks through a large black gate and towards the forest.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 26, 50 ] ] }, { "id": 9229, "vid": "YpqH79OnK5M_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A newscast reports on the devstatation of Hurricane Iota\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111100" } ], "video_timestamps": [ 1.3, 3.9, 6.5, 9.1, 11.7, 14.3, 16.9, 19.4, 22.0, 24.6, 27.2, 29.8, 32.4, 35.0, 37.6, 40.2, 42.8, 45.4, 48.0, 50.5, 53.1, 55.7, 58.3, 60.9, 63.5, 66.1, 68.7, 71.3, 73.9, 76.5, 79.1, 81.7, 84.3, 86.9, 89.5, 92.1, 94.7, 97.2, 99.8, 102.4, 105.0, 107.6, 110.2, 112.8, 115.4, 118.0, 120.6, 123.2, 125.8, 128.4 ], "duration": 130, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 94, 124 ] ] }, { "id": 3658, "vid": "j0wGIBt61n0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl working with indoor plants\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 3705, "vid": "j0wGIBt61n0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef makes pancakes in a skillet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 48, 70 ] ] }, { "id": 5998, "vid": "j0wGIBt61n0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman changes her bedding, tidies the bed, then immediately piles lots of clothes on it\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 20, 62 ] ] }, { "id": 8385, "vid": "j0wGIBt61n0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is preparing a bowl of instant noodles and showing the packaging of it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111011110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 86, 96 ], [ 98, 112 ] ] }, { "id": 8861, "vid": "j0wGIBt61n0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Ramen is in a white bowl.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 20, 36 ] ] }, { "id": 1390, "vid": "yJLmek6euTA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Display of cups and cakes on a store shelf\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 34, 62 ] ] }, { "id": 1450, "vid": "yJLmek6euTA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Beautiful Chinese puppet show at some auditorium\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111110000100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 31 ], "relevant_windows": [ [ 12, 48 ], [ 60, 64 ] ] }, { "id": 3666, "vid": "yJLmek6euTA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vlogger shows the walk down a winding hallway.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 82, 104 ] ] }, { "id": 7139, "vid": "yJLmek6euTA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A huge polygonal skyscraper towers over the other buildings in the city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 40, 54 ] ] }, { "id": 8679, "vid": "yJLmek6euTA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is checking out the large wooden entrance to a wilderness lodge.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 72, 98 ] ] }, { "id": 68, "vid": "SyMt-tik9q0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is holding a duck on the bus.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 56, 74 ] ] }, { "id": 1300, "vid": "SyMt-tik9q0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The men are driving in a car to Land's End together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 68, 120 ] ] }, { "id": 2600, "vid": "SyMt-tik9q0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of men approach a white sign post and take photographs beside it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 76, 122 ] ] }, { "id": 8549, "vid": "SyMt-tik9q0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of friends are playing with a black dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111101100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 71 ], "relevant_windows": [ [ 92, 136 ], [ 138, 144 ] ] }, { "id": 8657, "vid": "SyMt-tik9q0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a black and white striped shirt moves near a cliff\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000001000000000001100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 16, 38, 56, 57, 58 ], "relevant_windows": [ [ 8, 26 ], [ 32, 34 ], [ 76, 78 ], [ 112, 118 ] ] }, { "id": 9624, "vid": "FWy5ZcDu_i8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a man in a safety vest is going to a work site\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 116, 132 ] ] }, { "id": 9713, "vid": "FWy5ZcDu_i8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Black and white photos of men's faces are shown in a circle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 20, 38 ] ] }, { "id": 10226, "vid": "FWy5ZcDu_i8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black man with a flat top is talking outside of a red building with black metal framing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001110011111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 30, 40 ], [ 46, 74 ] ] }, { "id": 967, "vid": "_RiI6qVZ1Hk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk through beautiful man made enviroments.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 106, 122 ] ] }, { "id": 4572, "vid": "_RiI6qVZ1Hk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl packing her travel bags\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 114, 150 ] ] }, { "id": 7981, "vid": "_RiI6qVZ1Hk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman folds clothes while talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 8, 26 ] ] }, { "id": 1901, "vid": "X0aUpT_eyTU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men's selfie video from a hill top\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 38, 98 ] ] }, { "id": 5754, "vid": "X0aUpT_eyTU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two buddies hang out above the cloudline after walking up to a viewpoint on a mountain.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 2240, "vid": "H3fhZxUC5M8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy playing making a cup cake with the play doh to entertain his kids\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000010011111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 46, 48 ], [ 54, 76 ] ] }, { "id": 2988, "vid": "H3fhZxUC5M8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: mum is talking with girls and putting shoes on girl.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 3129, "vid": "H3fhZxUC5M8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A tired but enthusiastic mother talks to her three toddlers about their clothing\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 58, 88 ] ] }, { "id": 8977, "vid": "H3fhZxUC5M8_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl feeds her dad before feeding herself.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 74, 94 ] ] }, { "id": 5435, "vid": "HzMhnd_AJhw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Child siblings in winter hats make their way through the airport after waiting in line.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 24, 48 ] ] }, { "id": 1777, "vid": "bTqMo5klaCE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Waves come in and out of the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 72, 98 ] ] }, { "id": 2879, "vid": "bTqMo5klaCE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Birds of paradise are sitting inside of a large enclosure.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 30, 68 ] ] }, { "id": 4112, "vid": "bTqMo5klaCE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger gives a tour of the bathroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111011111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 66, 78 ], [ 80, 112 ] ] }, { "id": 7578, "vid": "bTqMo5klaCE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large yellow cargo van is getting charged at a terminal it is parked beside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 100, 116 ] ] }, { "id": 8900, "vid": "bTqMo5klaCE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Waves are crashing into the beach sand on a cloudy day.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.4, 13.4, 16.4, 19.3, 22.3, 25.3, 28.3, 31.2, 34.2, 37.2, 40.2, 43.1, 46.1, 49.1, 52.1, 55.0, 58.0, 61.0, 63.9, 66.9, 69.9, 72.9, 75.9, 78.8, 81.8, 84.8, 87.7, 90.7, 93.7, 96.6, 99.6, 102.6, 105.6, 108.6, 111.5, 114.5, 117.5, 120.4, 123.4, 126.4, 129.4, 132.3, 135.3, 138.3, 141.3, 144.2, 147.2 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 2, 128 ] ] }, { "id": 1047, "vid": "9kF-Rw5PrDY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wears a green top around their shoulders.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011110110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 12, 13, 14 ], "relevant_windows": [ [ 8, 22 ], [ 24, 30 ] ] }, { "id": 5468, "vid": "9kF-Rw5PrDY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Names of countries are displayed on a wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111100010000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 58, 59 ], "relevant_windows": [ [ 94, 108 ], [ 116, 120 ] ] }, { "id": 5923, "vid": "9kF-Rw5PrDY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is dipping his feet into the water of a river with fish in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 48, 62 ] ] }, { "id": 313, "vid": "jdQ_zQJD0I4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men in the street are training in boxing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 68, 86 ] ] }, { "id": 536, "vid": "jdQ_zQJD0I4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple of shirtless rappers are performing on a red stage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 90, 106 ] ] }, { "id": 2616, "vid": "jdQ_zQJD0I4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A slick DJ goes to work at a nightclub\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 92, 140 ] ] }, { "id": 8266, "vid": "jdQ_zQJD0I4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The man in the white hat talks to the camera and explains who he is.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 100, 120 ] ] }, { "id": 8747, "vid": "jdQ_zQJD0I4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A birthday is being celebrated in a club tinted with purple lighting.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 72, 118 ] ] }, { "id": 10192, "vid": "eSPaNVYEWn8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Infographic shows prices in squares and circles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111100111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 96, 108 ], [ 114, 124 ] ] }, { "id": 329, "vid": "a2KIsaS9iJg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is cleaning a stone floor with a mop and bucket.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 20, 50 ] ] }, { "id": 1532, "vid": "a2KIsaS9iJg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple cleaning their motor bike with water\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111100010100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 40, 41, 43, 44 ], "relevant_windows": [ [ 54, 72 ], [ 80, 84 ], [ 86, 90 ] ] }, { "id": 2411, "vid": "a2KIsaS9iJg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young husky is being brushed then is let outside in the yard to play with ball toys.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 74, 98 ] ] }, { "id": 8606, "vid": "a2KIsaS9iJg_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef cooks chickpeas on the stove.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 82, 122 ] ] }, { "id": 8907, "vid": "a2KIsaS9iJg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is handwashing various items in a white tub.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 12, 30 ] ] }, { "id": 9381, "vid": "LExcS80OUEo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A wrestler talking on the wrestling ring\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 0, 58 ] ] }, { "id": 4602, "vid": "eE1m539s9RE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is posing in an oval shaped mirror before playing with her little fluffy dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 5902, "vid": "eE1m539s9RE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is sharing her air travel experience during pandemic\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7848, "vid": "eE1m539s9RE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman writes in her book.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000110001110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 78, 84 ], [ 92, 102 ] ] }, { "id": 820, "vid": "efCSWDWjm6g_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger gives a tour of their hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 72, 98 ] ] }, { "id": 1855, "vid": "efCSWDWjm6g_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Profile shots of a man in pink shirt driving his car in rural areas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000011111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 0, 20 ], [ 44, 64 ] ] }, { "id": 7877, "vid": "efCSWDWjm6g_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is looking through a lift window into a fog filled valley.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 150 ] ] }, { "id": 9927, "vid": "-dB_W38mCRM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different website headlines are shown from Danger & Play.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 128, 144 ] ] }, { "id": 10210, "vid": "-dB_W38mCRM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different tweets are shown in black and white.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011000000000111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 21, 22, 23, 24 ], "relevant_windows": [ [ 10, 16 ], [ 42, 50 ] ] }, { "id": 10267, "vid": "-dB_W38mCRM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman have a interview across the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 2063, "vid": "v9bV5ERmcCk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a man with black shirt and sunglasses is on the back of taxi cab talking to camera as the car is moving\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01000111011101100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 8, 9, 10, 11, 14, 15, 16, 17, 20, 21, 25 ], "relevant_windows": [ [ 2, 6 ], [ 16, 24 ], [ 28, 36 ], [ 40, 44 ], [ 50, 52 ] ] }, { "id": 6546, "vid": "v9bV5ERmcCk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black t-shirt is talking in front of the camera while drinking hot chocolate\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111101110000000001111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 46 ], [ 48, 58 ], [ 84, 150 ] ] }, { "id": 7959, "vid": "v9bV5ERmcCk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man with a hat is talking to camera before he starts walking down the stairs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 96, 128 ] ] }, { "id": 12, "vid": "2vFzBa_WKNg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian woman holds up beauty products to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 1337, "vid": "2vFzBa_WKNg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman does a close up of the blue skin care cream.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 92, 114 ] ] }, { "id": 5238, "vid": "2vFzBa_WKNg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An woman in a black mask is shopping in a department store with help from a retail associate in a blue mask.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 82, 132 ] ] }, { "id": 7585, "vid": "2vFzBa_WKNg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger shows a grocery cart full for produce.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111000000000000000100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 30, 31 ], "relevant_windows": [ [ 2, 16 ], [ 60, 64 ] ] }, { "id": 8605, "vid": "2vFzBa_WKNg_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady with white top is talking through the Dior make up she bought.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 34, 72 ] ] }, { "id": 3416, "vid": "8CCyShsFArg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a pink dress and white hat showing off views of the beach she is at.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 118, 140 ] ] }, { "id": 6429, "vid": "8CCyShsFArg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in pink top with white hat is walking and talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111110011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 86, 112 ], [ 118, 150 ] ] }, { "id": 6634, "vid": "8CCyShsFArg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a blue shirt holds a glass and talks to the cameraperson.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 18, 36 ] ] }, { "id": 9209, "vid": "DrLO4lnx6l0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Flooding after massive rainfall in Hyderabad India\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000111111111000001111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 36 ], [ 50, 78 ], [ 92, 150 ] ] }, { "id": 3011, "vid": "ZxHh_2YdmT4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple sharing some beautiful movements and scenes of island beach\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 0, 70 ] ] }, { "id": 4203, "vid": "ZxHh_2YdmT4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vlogger shows a beach with no people.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 94, 120 ] ] }, { "id": 4499, "vid": "ZxHh_2YdmT4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple Vlog they're Trip to Thailand\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000101000100000000000000000010010001000000000110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 7, 8, 10, 11, 17, 45, 50, 52, 55, 56, 61, 71, 72 ], "relevant_windows": [ [ 0, 4 ], [ 14, 18 ], [ 20, 24 ], [ 34, 36 ], [ 90, 92 ], [ 100, 102 ], [ 104, 106 ], [ 110, 114 ], [ 122, 124 ], [ 142, 146 ] ] }, { "id": 3513, "vid": "K3lDAtwYt_4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple boarding on ferry and sharing romantic scene of the evening\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 66, 104 ] ] }, { "id": 7746, "vid": "K3lDAtwYt_4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Views of a plane wing on the ground and in flight.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 110, 128 ] ] }, { "id": 7759, "vid": "K3lDAtwYt_4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is enjoying their Dinner\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 90, 150 ] ] }, { "id": 2587, "vid": "Z4hMlOIhjJ4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple talking on a couch from their office\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 44, 68 ] ] }, { "id": 2741, "vid": "Z4hMlOIhjJ4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: White American Vlogger showing her studio setup\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.4, 7.2, 10.1, 13.0, 15.9, 18.7, 21.6, 24.5, 27.4, 30.3, 33.2, 36.1, 38.9, 41.8, 44.7, 47.6, 50.5, 53.4, 56.2, 59.1, 62.0, 64.9, 67.8, 70.6, 73.6, 76.4, 79.3, 82.2, 85.1, 87.9, 90.8, 93.7, 96.6, 99.5, 102.4, 105.3, 108.1, 111.0, 113.9, 116.8, 119.7, 122.6, 125.4, 128.3, 131.2, 134.1, 136.9, 139.8, 142.7 ], "duration": 144, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 0, 86 ] ] }, { "id": 2890, "vid": "Z4hMlOIhjJ4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Youngs girls and boys enjoy shopping some techies\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 0, 106 ] ] }, { "id": 2546, "vid": "u4GsXRzTqf8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young boy and young girl are hanging out with their dad while eating some food\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 12, 42 ] ] }, { "id": 4838, "vid": "u4GsXRzTqf8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two children are playing on the floor together and one is still in diapers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 78, 122 ] ] }, { "id": 9220, "vid": "Ul_r4_QMAV8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two reporters hold each other tight to avoid being blown by Hurricane Katrina as they do a live report outside\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 68, 130 ] ] }, { "id": 4389, "vid": "z12l9AAZhXc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl wearing tank top vlogs in front of white wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 4763, "vid": "z12l9AAZhXc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holding a phone with her left hand while talking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10010000000111111000001010000111111100011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 5, 17, 18, 19, 20, 21, 22, 23, 24, 25, 33, 36, 37, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 0, 4 ], [ 10, 12 ], [ 34, 52 ], [ 66, 68 ], [ 72, 76 ], [ 86, 108 ], [ 118, 140 ] ] }, { "id": 5537, "vid": "z12l9AAZhXc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl holds up her phone screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001001100110000000000000000011010000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 15, 17, 21, 22, 23, 49, 50, 51, 54 ], "relevant_windows": [ [ 20, 24 ], [ 30, 32 ], [ 34, 36 ], [ 42, 48 ], [ 98, 104 ], [ 108, 110 ] ] }, { "id": 9522, "vid": "XrGXgtBnfoc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People give press conferences with a American flag to the left.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111110000001100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 56, 57, 58, 59, 69, 70, 71 ], "relevant_windows": [ [ 106, 110 ], [ 112, 120 ], [ 138, 144 ] ] }, { "id": 9884, "vid": "XrGXgtBnfoc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are running away from the people on motorcycles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 72, 88 ] ] }, { "id": 10209, "vid": "XrGXgtBnfoc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Trump shakes a man's hand then talks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 562, "vid": "jYAfivk0mKI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman walks down the street in a white mask.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 582, "vid": "jYAfivk0mKI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: vlogger is pointing to tea mugs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 50, 52 ], [ 60, 74 ] ] }, { "id": 4151, "vid": "jYAfivk0mKI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman eating a yogurt based dish\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111001000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60 ], "relevant_windows": [ [ 94, 114 ], [ 120, 122 ] ] }, { "id": 1365, "vid": "pmGyw055pQg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian Girl sharing some beautiful flowers and plants clips\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 1414, "vid": "pmGyw055pQg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Pakistani girl visited bedsheet shop and showing some colourful stuff\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 70, 136 ] ] }, { "id": 5217, "vid": "pmGyw055pQg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger goes shopping for plants.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 8450, "vid": "pmGyw055pQg_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shoes are lined up on the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 24, 74 ] ] }, { "id": 8627, "vid": "pmGyw055pQg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is trying on different slipper on her right feet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 108, 144 ] ] }, { "id": 9597, "vid": "Mi7P9r1R6RA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Still photos of a soccer team and it's coach to show the college scandal.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 10, 32 ] ] }, { "id": 9988, "vid": "Mi7P9r1R6RA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in pink top navigates a building in rubble.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000110000110010011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 61, 62, 63, 68, 72, 73, 74 ], "relevant_windows": [ [ 106, 112 ], [ 122, 128 ], [ 136, 138 ], [ 144, 150 ] ] }, { "id": 10217, "vid": "Mi7P9r1R6RA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People's bodies are left on the ground.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011100000110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 44, 45 ], "relevant_windows": [ [ 62, 72 ], [ 88, 92 ] ] }, { "id": 3253, "vid": "OR7oOU8S7Jc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist Young black couple having some fastfood\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 84, 108 ] ] }, { "id": 6815, "vid": "OR7oOU8S7Jc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman is showing off her lunch at an outdoor table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 80, 98 ] ] }, { "id": 8131, "vid": "OR7oOU8S7Jc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Ribs are prepared for eating.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011110110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 35, 36 ], "relevant_windows": [ [ 54, 66 ], [ 70, 74 ] ] }, { "id": 9016, "vid": "OR7oOU8S7Jc_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is painting a portrait on the side of the road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 74, 88 ] ] }, { "id": 9139, "vid": "OR7oOU8S7Jc_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman poses for a selfie in a green leopard bikini top.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111100011000000000011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 54, 55, 56, 72, 73, 74 ], "relevant_windows": [ [ 82, 98 ], [ 108, 114 ], [ 144, 150 ] ] }, { "id": 544, "vid": "iQ0io56PejM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Crowds of people are surrounding a old man.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 26, 62 ] ] }, { "id": 3766, "vid": "iQ0io56PejM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian man in a full suit without a tie near a conference seems to be in good spirits.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 0, 52 ] ] }, { "id": 5209, "vid": "iQ0io56PejM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teams play in ping pong tournament.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000011111111100001100000000000011110000011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 37, 38, 39, 58, 59, 60, 61, 62, 63, 72, 73, 74 ], "relevant_windows": [ [ 10, 24 ], [ 36, 44 ], [ 46, 64 ], [ 74, 80 ], [ 116, 128 ], [ 144, 150 ] ] }, { "id": 8323, "vid": "iQ0io56PejM_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy with red jacket is getting interviewed\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 118, 150 ] ] }, { "id": 8327, "vid": "iQ0io56PejM_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two table tennis players are playing an intense game with each other\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 18, 60 ] ] }, { "id": 374, "vid": "hl_ErejT_CE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women sharing her experience with her special child\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111101111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 90 ], [ 92, 150 ] ] }, { "id": 5333, "vid": "hl_ErejT_CE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A hair stylist cuts a little boys hair while he looks at a personal device.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 4, 36 ] ] }, { "id": 6275, "vid": "hl_ErejT_CE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talking about a serious medical problem switches tones completely when her small child gets in the car\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 88, 124 ] ] }, { "id": 7421, "vid": "hl_ErejT_CE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A spread of breakfast type foods is sitting on the table in a tray and on plates.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 8594, "vid": "hl_ErejT_CE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman stressfully talks to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 74, 88 ] ] }, { "id": 666, "vid": "3fESWnyZC0o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Overhead shots of food in restaurants.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001011000000000000000000000000000000010000111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 13, 14, 15, 16, 63, 64, 71, 72, 73, 74 ], "relevant_windows": [ [ 20, 24 ], [ 26, 34 ], [ 126, 130 ], [ 142, 150 ] ] }, { "id": 2166, "vid": "3fESWnyZC0o_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls having ravoli, lasagne, salad and a drink for their lunch\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 52, 82 ] ] }, { "id": 3099, "vid": "3fESWnyZC0o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women are riding on a train together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 46, 100 ] ] }, { "id": 9712, "vid": "ny_1mBy6anU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different Wells Fargo banks and atms are shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011011111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 28, 32 ], [ 36, 62 ] ] }, { "id": 9816, "vid": "ny_1mBy6anU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man sits on a desk with a binder in front of time.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 42, 60 ] ] }, { "id": 9903, "vid": "ny_1mBy6anU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large group of people march down the street holding flags and signs with a woman in a sunhat in the front.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 46, 68 ] ] }, { "id": 1862, "vid": "DTh3uCDtres_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a man sleeping in hotel room then man and woman are in the restaurant showing the hotel breakfast offering\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01000110011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 7, 8, 9, 14, 15, 17, 18, 20, 21, 22 ], "relevant_windows": [ [ 4, 6 ], [ 14, 20 ], [ 28, 32 ], [ 34, 38 ], [ 40, 46 ] ] }, { "id": 3003, "vid": "DTh3uCDtres_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy is riding a jet ski fast along green waters and lots of waves get kicked up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 20, 72 ] ] }, { "id": 5801, "vid": "DTh3uCDtres_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman walk down the street together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 74, 96 ] ] }, { "id": 9056, "vid": "DTh3uCDtres_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds a beer stein and drinks it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 120, 136 ] ] }, { "id": 4672, "vid": "OiueSrtEfvs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist girl having fun and sharing amazing scenes from Indonesia\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 4704, "vid": "OiueSrtEfvs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in white top rides a bike.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000101111100000000001111000000100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 15, 16, 17, 18, 19, 20, 21, 38, 39, 40, 41, 42, 43, 53 ], "relevant_windows": [ [ 24, 28 ], [ 30, 44 ], [ 76, 88 ], [ 106, 108 ] ] }, { "id": 7850, "vid": "OiueSrtEfvs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger gets a fruit chopped up and drinks from it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 72, 86 ] ] }, { "id": 1158, "vid": "slQPJSfZ_4o_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Black women are swimming in a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 2217, "vid": "slQPJSfZ_4o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in brown top is shown in a black television like screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 46, 72 ] ] }, { "id": 5762, "vid": "slQPJSfZ_4o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple female friends are showing their brunch platter of types of breakfast wraps.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 86, 106 ] ] }, { "id": 9574, "vid": "AW6IgzeMjpE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Police are talking to a group of men in a bunker.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 9653, "vid": "AW6IgzeMjpE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: City is in rubble and cars are on fire.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 44, 60 ] ] }, { "id": 9660, "vid": "AW6IgzeMjpE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A female journalist is sitting and interviewing the president of Azerbaijan.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111110011111000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 36, 37, 38, 39, 40, 41, 42, 43, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 50, 66 ], [ 72, 88 ], [ 112, 150 ] ] }, { "id": 1057, "vid": "X6g8OD7TdcY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A crowd of people surround a white stage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 4293, "vid": "X6g8OD7TdcY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young girl sharing some beautiful pictures of festival and telling her activities\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7836, "vid": "X6g8OD7TdcY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is showing her adorable hotel room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 48, 88 ] ] }, { "id": 9128, "vid": "X6g8OD7TdcY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl talks wearing a Christmas sweater.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 307, "vid": "0_eIFN2FDoU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is talking to the camera in her living room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3608, "vid": "0_eIFN2FDoU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl commenting on other v loggers\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3733, "vid": "0_eIFN2FDoU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in blue top speaks directly to camera from the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7011, "vid": "0_eIFN2FDoU_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with blue top talks to camera in front of her couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 2862, "vid": "pWtzuphf8nc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in glasses and grey sweater is talking in her bedroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 60, 70 ], [ 72, 98 ] ] }, { "id": 3623, "vid": "pWtzuphf8nc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl looks happy to be laying next to her fluffy white cat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 6053, "vid": "pWtzuphf8nc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman talks about and works on her fangirl video for the next convention\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 72, 112 ] ] }, { "id": 7294, "vid": "pWtzuphf8nc_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds a bowl of nuts in her hand.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 16, 30 ] ] }, { "id": 8774, "vid": "pWtzuphf8nc_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is cleaning her work area\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 44 ] ] }, { "id": 5758, "vid": "0U3-7Ey3siA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black screen with texts describing events not shown in the video.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 122, 138 ] ] }, { "id": 7601, "vid": "0U3-7Ey3siA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is intimidated by some delicious food on a platter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 54, 72 ] ] }, { "id": 7670, "vid": "0U3-7Ey3siA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in hoodie talks to camera by a white van.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 62, 80 ] ] }, { "id": 9664, "vid": "rZQjpKRsPMQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People hold different protest signs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011110011000000000000000001100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 31, 32, 33, 60, 61, 62 ], "relevant_windows": [ [ 46, 56 ], [ 62, 68 ], [ 120, 126 ] ] }, { "id": 9917, "vid": "rZQjpKRsPMQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and woman walk through a forest clearly near a logging site.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 10296, "vid": "rZQjpKRsPMQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Soldiers escort people through the wilderness.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011101110000000000000000000000011110111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 24, 25, 26, 27, 63, 64, 65, 66, 67, 68, 71, 72, 73, 74 ], "relevant_windows": [ [ 36, 46 ], [ 48, 56 ], [ 126, 138 ], [ 142, 150 ] ] }, { "id": 1342, "vid": "msAkt_9q6H0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A mom holds on to her child in the snow.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000100001000001000000000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 42, 43, 51, 52, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 70, 72 ], [ 84, 88 ], [ 102, 106 ], [ 134, 146 ] ] }, { "id": 1678, "vid": "msAkt_9q6H0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Little boy enjoy cycling in the snow\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000011111111111111111100011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 72, 73, 74 ], "relevant_windows": [ [ 0, 20 ], [ 82, 136 ], [ 144, 150 ] ] }, { "id": 2545, "vid": "msAkt_9q6H0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A toddler plays with a camera with his parents.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 110, 150 ] ] }, { "id": 7512, "vid": "msAkt_9q6H0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A baby in a gray onesie is playing in the living room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111100100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 21, 22 ], "relevant_windows": [ [ 4, 36 ], [ 38, 40 ], [ 42, 46 ] ] }, { "id": 8340, "vid": "msAkt_9q6H0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Daddy with white top is feeding baby from a bowl\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 112, 150 ] ] }, { "id": 1536, "vid": "wFPaHOAoGzI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is talking while applying makeup on face.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111110111111111111111001111110111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 63, 65 ], "relevant_windows": [ [ 10, 40 ], [ 42, 80 ], [ 82, 88 ], [ 92, 112 ], [ 114, 128 ], [ 130, 132 ] ] }, { "id": 1783, "vid": "wFPaHOAoGzI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing her face make up with a brush\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011000000110111010000010111111111111100011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 14, 15, 26, 27, 30, 31, 32, 33, 34, 36, 37, 40, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 72, 73, 74 ], "relevant_windows": [ [ 8, 10 ], [ 28, 32 ], [ 52, 56 ], [ 60, 70 ], [ 72, 76 ], [ 80, 82 ], [ 90, 94 ], [ 96, 134 ], [ 144, 150 ] ] }, { "id": 5330, "vid": "wFPaHOAoGzI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wipes her face with a brush.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 38, 74 ] ] }, { "id": 8382, "vid": "wFPaHOAoGzI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman applies make up whilst talking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 8457, "vid": "wFPaHOAoGzI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black top is applying makeup while talking to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 2, 34 ] ] }, { "id": 9251, "vid": "7sf0ZL5KNZ8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A reporter is showing the yellow interior of a large airplane and interviewing people inside of it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111110000011111111111111000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 73, 74 ], "relevant_windows": [ [ 0, 76 ], [ 90, 132 ], [ 146, 150 ] ] }, { "id": 4256, "vid": "sDpLUiHK_jE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple on a bamboo boat\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 48, 50 ], [ 52, 74 ] ] }, { "id": 7591, "vid": "sDpLUiHK_jE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in yellow top is hanging around a garage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011110111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 108, 120 ], [ 122, 132 ] ] }, { "id": 8152, "vid": "sDpLUiHK_jE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red top holds a long stick.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111100100000010000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 27, 28 ], "relevant_windows": [ [ 12, 28 ], [ 32, 36 ], [ 54, 58 ] ] }, { "id": 2322, "vid": "BanSEQnGfFg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young woman goes to the airport \"club\" while her friends wait \"economy style\"\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111011111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 68, 96 ], [ 98, 134 ] ] }, { "id": 5667, "vid": "BanSEQnGfFg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman waits for ride at the airport then gets in.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 122, 140 ] ] }, { "id": 6543, "vid": "BanSEQnGfFg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black T-shirt is standing and talking in front of her camera and then she sits down\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 46, 150 ] ] }, { "id": 1260, "vid": "cL8ouoEZtKM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with backpack sets up a tripod.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 78, 104 ] ] }, { "id": 5114, "vid": "cL8ouoEZtKM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man finds a pine cone during a walk in the woods.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 5374, "vid": "cL8ouoEZtKM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man holding a camera hiking a mountain trail.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111101111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 74, 108 ], [ 110, 130 ] ] }, { "id": 1386, "vid": "3Bk5MJEo2EA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Indian young woman walking a running around the city while talking to the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 92, 136 ] ] }, { "id": 1586, "vid": "3Bk5MJEo2EA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing her face make up\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001011111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 84, 86 ], [ 90, 120 ] ] }, { "id": 3952, "vid": "3Bk5MJEo2EA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple sharing there breakfast menue\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 0, 50 ] ] }, { "id": 7066, "vid": "3Bk5MJEo2EA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger walks past the desert counter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 48, 74 ] ] }, { "id": 8375, "vid": "3Bk5MJEo2EA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks about the jewelry she bought today\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 36, 94 ] ] }, { "id": 755, "vid": "5JOEKQhV1UA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are stopped in the road feeding monkeys.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 36, 54 ] ] }, { "id": 2126, "vid": "5JOEKQhV1UA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A dad's fun ride with his kid in a jungle\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111101111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 0, 18 ], [ 20, 60 ] ] }, { "id": 5687, "vid": "5JOEKQhV1UA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Father rides in a metal seat with his daughter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 20, 52 ] ] }, { "id": 10273, "vid": "-oPEG4FKHy8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A soldier in uniform is talking in wood building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3318, "vid": "hm4l6e_V-hQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady doing a room door of a cruise\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111111111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 20, 104 ] ] }, { "id": 6484, "vid": "hm4l6e_V-hQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman in the red shirt rides the Skyride and pedals around the ship.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 92, 126 ] ] }, { "id": 6836, "vid": "hm4l6e_V-hQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple get enjoy Elegant Night on a cruise ship\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 58, 102 ] ] }, { "id": 9133, "vid": "hm4l6e_V-hQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman in red leggings attempts to climb a rope ladder\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 22, 40 ] ] }, { "id": 580, "vid": "7PKEbzSNwts_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman talks with the shoe rack to the left.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 0, 6 ], [ 50, 70 ] ] }, { "id": 1564, "vid": "7PKEbzSNwts_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady talking about the make up items she bought\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011101100011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 56, 57, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 100, 108 ], [ 112, 116 ], [ 126, 150 ] ] }, { "id": 2570, "vid": "7PKEbzSNwts_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady applying lipstick on her lips\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 0, 36 ] ] }, { "id": 7188, "vid": "7PKEbzSNwts_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks cheerfully in front of a shelf full of shoes in her home\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 807, "vid": "N5DpPCcQxJ4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of women pose for some photographs beside some cacti and a white backdrop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 1893, "vid": "N5DpPCcQxJ4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist girl filming beautiful neighbourhood with her friend\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111110011100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 4, 30 ], [ 36, 46 ] ] }, { "id": 5950, "vid": "N5DpPCcQxJ4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Beautiful restaurant dishes are shown from above.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 72, 92 ] ] }, { "id": 1268, "vid": "FYU3KWg9TdQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl introducing a spry before wearing a mask\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111101000111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 29, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 42, 54 ], [ 58, 60 ], [ 68, 128 ] ] }, { "id": 3925, "vid": "FYU3KWg9TdQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A marbled dark cat with white boot patterns is eating out of a dish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 0, 52 ] ] }, { "id": 5059, "vid": "FYU3KWg9TdQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks to the camera about her day\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7373, "vid": "FYU3KWg9TdQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman in black sweatshirt sits in a parked car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 24 ], [ 114, 150 ] ] }, { "id": 8356, "vid": "FYU3KWg9TdQ_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks while behind the wheel of her stationary car quite excitedly with rapid hand gestures.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 210, "vid": "cLvULsyPH4E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mother does her daughter's hair and makeup.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000110111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 50, 56 ], [ 60, 84 ] ] }, { "id": 381, "vid": "cLvULsyPH4E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman goes through her makeup collection.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 42, 82 ] ] }, { "id": 482, "vid": "cLvULsyPH4E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam view of a car in travel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 18, 42 ] ] }, { "id": 6957, "vid": "cLvULsyPH4E_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl is sleeping in the back of a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 96, 146 ] ] }, { "id": 7412, "vid": "cLvULsyPH4E_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dolls are kept in ornament display cases.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 84, 98 ] ] }, { "id": 1894, "vid": "bowYAwxuG-c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: tourist gather to film beautiful Chicago skyscraper\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 3296, "vid": "bowYAwxuG-c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl entering a room hotel and checking out the view\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 7826, "vid": "bowYAwxuG-c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is having snacks and hanging out near a Christmas tree with a city view of skyscrapers behind her at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 50, 82 ] ] }, { "id": 2124, "vid": "3UPP_WRL86c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian family ride in rakshaw\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111111111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 38, 114 ] ] }, { "id": 2342, "vid": "3UPP_WRL86c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Striped shirt woman sits in a desk in her bedroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111101111111111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 0, 64 ], [ 66, 86 ], [ 88, 142 ] ] }, { "id": 4510, "vid": "3UPP_WRL86c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The view from a train window.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100001111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 58, 80 ], [ 92, 104 ] ] }, { "id": 3532, "vid": "N1fXNtRIHJM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian tourist showing some beautiful scene from broth valley\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111111111000011110000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 49, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 32, 88 ], [ 98, 112 ], [ 132, 150 ] ] }, { "id": 4573, "vid": "N1fXNtRIHJM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian man touching his hair and head while his friend record a selfie video\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 84, 140 ] ] }, { "id": 5838, "vid": "N1fXNtRIHJM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two friends eat pasta together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 46, 64 ] ] }, { "id": 2326, "vid": "mpVKDcu6R5Y_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The girls scream with excitement as they leave the airport.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000010111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 18, 20 ], [ 24, 46 ] ] }, { "id": 3086, "vid": "mpVKDcu6R5Y_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two women are sitting together on a plane with the one on the left with a neck pillow.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111111110011100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 50, 51, 52, 53 ], "relevant_windows": [ [ 44, 94 ], [ 100, 108 ] ] }, { "id": 8066, "vid": "mpVKDcu6R5Y_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in black bra drinks multiple drinks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 80, 100 ] ] }, { "id": 9077, "vid": "mpVKDcu6R5Y_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is dancing at a bar in front of a man.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 40, 64 ] ] }, { "id": 1739, "vid": "WC9KLy8Py-k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy cuddling and filming his cats\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111111111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 10, 84 ] ] }, { "id": 3779, "vid": "WC9KLy8Py-k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Drive way to a airport parking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111011000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65 ], "relevant_windows": [ [ 98, 124 ], [ 126, 132 ] ] }, { "id": 4163, "vid": "WC9KLy8Py-k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two guys wearing sunglasses talking during a road trip\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111110000000000000000000011100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 64, 65, 66 ], "relevant_windows": [ [ 0, 66 ], [ 126, 134 ] ] }, { "id": 6993, "vid": "WC9KLy8Py-k_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Walking through the lobby area of a hotel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 64, 80 ] ] }, { "id": 8560, "vid": "WC9KLy8Py-k_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy with stroppy top is walking in the airport terminals.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 58 ], "relevant_windows": [ [ 88, 108 ], [ 116, 118 ] ] }, { "id": 267, "vid": "at9Nxpb2MNQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Brunette woman wearing red lipstick gives a monologue in her kitchen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111100111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 126 ], [ 132, 150 ] ] }, { "id": 4959, "vid": "at9Nxpb2MNQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman monologues next to her cabinets.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 0, 58 ] ] }, { "id": 2340, "vid": "av5DZl8MvcQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Highlights of Our travel VLOG\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000001010000101111010001100010001000000000111101" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 11, 14, 21, 24, 26, 27, 29, 32, 38, 39, 40, 45, 46, 51, 61, 64, 66, 67, 68, 69, 71, 73, 74 ], "relevant_windows": [ [ 0, 4 ], [ 22, 24 ], [ 28, 30 ], [ 42, 44 ], [ 48, 50 ], [ 52, 56 ], [ 58, 60 ], [ 64, 66 ], [ 76, 82 ], [ 90, 94 ], [ 102, 104 ], [ 122, 124 ], [ 128, 130 ], [ 132, 140 ], [ 142, 144 ], [ 146, 150 ] ] }, { "id": 6565, "vid": "av5DZl8MvcQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a white shirt opens a case of lipstick and displays it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 60, 118 ] ] }, { "id": 8220, "vid": "av5DZl8MvcQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is holding up a yellow bag.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 108, 140 ] ] }, { "id": 9026, "vid": "av5DZl8MvcQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A cat moves around on the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111001000000000001000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 42, 60, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 68, 78 ], [ 84, 86 ], [ 120, 122 ], [ 134, 148 ] ] }, { "id": 2334, "vid": "qHSeudOaXwk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three women in a bar/restaurant sing and dance together\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 18, 40 ] ] }, { "id": 5765, "vid": "qHSeudOaXwk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman does her makeup then puts it in the bag.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 70, 88 ] ] }, { "id": 5856, "vid": "qHSeudOaXwk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a paper folder.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111001111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 86, 96 ], [ 102, 114 ] ] }, { "id": 9474, "vid": "SST7vk2qmCY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman wearing glasses shouting with a microphone\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 96, 150 ] ] }, { "id": 9483, "vid": "SST7vk2qmCY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shouts, holding a microphone in a court room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 1800, "vid": "DtLI1xR051U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kids checking out their goodies and chocolates during Easter\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 0, 60 ] ] }, { "id": 1859, "vid": "DtLI1xR051U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kid's funny pick of candy, crisps and coke on a kid's day out\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 42, 66 ] ] }, { "id": 6431, "vid": "DtLI1xR051U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a little boy is playing inside a waterslide\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000010010000000001100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 31, 32, 46, 47, 48, 49 ], "relevant_windows": [ [ 54, 58 ], [ 62, 66 ], [ 92, 100 ] ] }, { "id": 963, "vid": "aePha0zWX7c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man videotaping a statue and a man playing an instrument and singing in the middle of square.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 30, 60 ] ] }, { "id": 3242, "vid": "aePha0zWX7c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl eating her dinner at dark light restaurant\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 70, 114 ] ] }, { "id": 7825, "vid": "aePha0zWX7c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman ride in a green cart.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000110111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 52, 56 ], [ 60, 76 ] ] }, { "id": 3773, "vid": "GrxpxImALZo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman looks at her phone in her bathrobe on the roof.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111000001101000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 56, 57, 60, 61 ], "relevant_windows": [ [ 80, 96 ], [ 112, 116 ], [ 120, 124 ] ] }, { "id": 6047, "vid": "GrxpxImALZo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman in a bathrobe listens to headphones and enjoys a cup of coffee on her huge bacony amidst city highrises\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111011000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11 ], "relevant_windows": [ [ 0, 16 ], [ 18, 24 ] ] }, { "id": 10082, "vid": "tvSJ1O8esRE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boys are at wrestling practice.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 128, 146 ] ] }, { "id": 1940, "vid": "FlIZP8D0_gQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman looks at a sumptous breakfast buffet at a resort\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 70, 132 ] ] }, { "id": 4689, "vid": "FlIZP8D0_gQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist girl filming elegant hotel room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 5864, "vid": "FlIZP8D0_gQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman points to everything on a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111011000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42 ], "relevant_windows": [ [ 60, 78 ], [ 80, 86 ] ] }, { "id": 9545, "vid": "4G9S-eoLgX4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of men is walking in a deserted path.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 48, 68 ] ] }, { "id": 9985, "vid": "4G9S-eoLgX4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Soldiers are escorting people walking down a dirt road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111000111110011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 52, 53, 54, 55, 56, 57, 58, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 64, 96 ], [ 104, 120 ], [ 126, 150 ] ] }, { "id": 10309, "vid": "4G9S-eoLgX4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Google maps of the desert is shown with red circles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111110111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 72, 102 ], [ 104, 146 ] ] }, { "id": 5679, "vid": "sa-O_S2jzCw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Scenes of mountains and hills are shown from a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10001111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 4 ], [ 12, 26 ] ] }, { "id": 6824, "vid": "sa-O_S2jzCw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man walking and talking on a mountain path passes a pack mule with a large load walking by itself, with people trailing far behind\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 60, 86 ] ] }, { "id": 7960, "vid": "sa-O_S2jzCw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A boy is hiking on the big mountain\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 1285, "vid": "S1DZb9SkrK8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red hoodie has his kid on his back.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 2969, "vid": "S1DZb9SkrK8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in an orange hoodie holds a kid on his back then starts to gesture and laugh.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 2977, "vid": "S1DZb9SkrK8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: African American pop star sharing some movements\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 9214, "vid": "0lbehz52PFU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Weather reporter reports about winter storm\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111111101110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 102, 136 ], [ 138, 148 ] ] }, { "id": 9304, "vid": "0lbehz52PFU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A TV newscast reports on people digging out from the snow at homes and roadways\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 72, 94 ] ] }, { "id": 3852, "vid": "eX-EpPDjlUs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a green shirt by a palm plant is talking while a child plays with her hair.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 106, 134 ] ] }, { "id": 4099, "vid": "eX-EpPDjlUs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Indian woman walking near a park and talking to the camera after a photo shoot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 92, 150 ] ] }, { "id": 4796, "vid": "eX-EpPDjlUs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with wet hair talks about and uses several facial skincare products\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7117, "vid": "eX-EpPDjlUs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vloggers go past a tea cart.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 28, 44 ] ] }, { "id": 1018, "vid": "xUb7T-C0Yt4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman travels in a canoe.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 74, 104 ] ] }, { "id": 5958, "vid": "xUb7T-C0Yt4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A brownish, silt filled river cuts through a landscape covered in trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 6749, "vid": "xUb7T-C0Yt4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A fork in the murky brown river flows around tree on an island in the middle of it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 9878, "vid": "c-fzjF9ubUc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Putin and Trump walk up to the podium then speak.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 60, 82 ] ] }, { "id": 10063, "vid": "c-fzjF9ubUc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: President Trump is speaking and gesturing outside with the sun in his face.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 54, 68 ] ] }, { "id": 10196, "vid": "c-fzjF9ubUc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The people's faces are shown in circles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 110, 130 ] ] }, { "id": 137, "vid": "g6cmukMZBug_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a camera in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 44, 58 ] ] }, { "id": 457, "vid": "g6cmukMZBug_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl setting her stuff in new room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 2739, "vid": "h6sCcWcLU7A_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large group of students are standing around outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 0, 34 ] ] }, { "id": 3615, "vid": "h6sCcWcLU7A_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in white top wears a red cap.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 80, 118 ] ] }, { "id": 5164, "vid": "h6sCcWcLU7A_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Crowd of people applaud a young girl.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000110011000000001101000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 50, 51, 64, 65, 66, 69, 70 ], "relevant_windows": [ [ 88, 92 ], [ 100, 104 ], [ 128, 134 ], [ 138, 142 ] ] }, { "id": 7046, "vid": "h6sCcWcLU7A_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman gives a speech with a mic.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111001100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 33, 34, 35 ], "relevant_windows": [ [ 32, 60 ], [ 66, 72 ] ] }, { "id": 8750, "vid": "h6sCcWcLU7A_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The birthday girl is receiving a lot of warm hugs from her friends\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111100000001110000000000000010000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 28, 29, 30, 31, 32, 54, 55 ], "relevant_windows": [ [ 22, 36 ], [ 56, 66 ], [ 108, 112 ] ] }, { "id": 344, "vid": "lEmQV__Hauc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are doing tricks on surfboards.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001000011001001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 63, 64, 65, 69, 70, 74 ], "relevant_windows": [ [ 110, 114 ], [ 126, 132 ], [ 138, 142 ], [ 148, 150 ] ] }, { "id": 1324, "vid": "lEmQV__Hauc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl enjoying drinks and having fun\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001100111111100010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 72 ], "relevant_windows": [ [ 102, 108 ], [ 114, 136 ], [ 144, 146 ] ] }, { "id": 4098, "vid": "lEmQV__Hauc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The blonde girl in the grey sweater is drinking from her clear plastic cup.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011100110000000000001010110111001000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 26, 28, 30, 31, 32, 49, 51, 54, 57, 58, 59, 61, 62, 63, 64, 65, 69, 70 ], "relevant_windows": [ [ 46, 50 ], [ 52, 54 ], [ 56, 58 ], [ 60, 66 ], [ 98, 100 ], [ 102, 104 ], [ 108, 110 ], [ 114, 120 ], [ 122, 132 ], [ 138, 142 ] ] }, { "id": 5304, "vid": "UdiR9BWQKew_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman showing a new shelf for coats and shoes\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 0, 36 ] ] }, { "id": 6075, "vid": "UdiR9BWQKew_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A driving man talks about playing varous things outside when he was young\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 2, 42 ] ] }, { "id": 6241, "vid": "UdiR9BWQKew_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wears a mask around her chin in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 8676, "vid": "UdiR9BWQKew_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black coat is holding the horse's leash and moving the horse\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111111111111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 6, 80 ] ] }, { "id": 8821, "vid": "UdiR9BWQKew_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Lady with black jacket is putting the halter on the horse's head.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 26, 62 ] ] }, { "id": 3249, "vid": "raTrFwJMoJo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing the view from her window seat in a plane.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 88, 122 ] ] }, { "id": 4647, "vid": "raTrFwJMoJo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman wears a jean jacket when standing by the trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001101111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 102, 108 ], [ 112, 150 ] ] }, { "id": 7972, "vid": "raTrFwJMoJo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl pats her face with a green sponge.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110110111100000000001111110011010000011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 47, 48, 49, 50, 51, 52, 53, 54, 55, 59, 60, 61, 63, 64, 72, 73, 74 ], "relevant_windows": [ [ 20, 40 ], [ 42, 48 ], [ 50, 64 ], [ 94, 112 ], [ 118, 124 ], [ 126, 130 ], [ 144, 150 ] ] }, { "id": 9636, "vid": "eRqYUTA5JJo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with a large blue microphone talks for the radio whilst making hand gestures.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000001100101001010010010100100000000000111111011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 7, 10, 11, 12, 13, 16, 17, 19, 20, 24, 27, 28, 31, 32, 36, 37, 39, 44, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74 ], "relevant_windows": [ [ 0, 2 ], [ 14, 16 ], [ 20, 28 ], [ 32, 36 ], [ 38, 42 ], [ 48, 50 ], [ 54, 58 ], [ 62, 66 ], [ 72, 76 ], [ 78, 80 ], [ 88, 90 ], [ 122, 140 ], [ 144, 150 ] ] }, { "id": 9703, "vid": "eRqYUTA5JJo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks into a blue microphone.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10011000001110111111011000000110100100010010101000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 5, 6, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 34, 43, 44, 45, 48, 49, 52, 53, 55, 59, 63, 66, 69, 70 ], "relevant_windows": [ [ 0, 2 ], [ 10, 14 ], [ 30, 40 ], [ 42, 60 ], [ 64, 70 ], [ 86, 92 ], [ 96, 100 ], [ 104, 108 ], [ 110, 112 ], [ 118, 120 ], [ 126, 128 ], [ 132, 134 ], [ 138, 142 ] ] }, { "id": 9823, "vid": "eRqYUTA5JJo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in red doing an interview in the studio\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000110000011001111111111001101110011001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 21, 22, 23, 32, 33, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55, 56, 57, 58, 60, 61, 62, 63, 64, 68, 69, 73, 74 ], "relevant_windows": [ [ 0, 32 ], [ 42, 48 ], [ 64, 68 ], [ 74, 104 ], [ 110, 118 ], [ 120, 130 ], [ 136, 140 ], [ 146, 150 ] ] }, { "id": 1309, "vid": "ocLUzCNodj4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman stands in her bedroom in front of a mirror and talks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 38, 88 ] ] }, { "id": 1665, "vid": "ocLUzCNodj4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl making chocolate juice\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 74, 150 ] ] }, { "id": 2791, "vid": "ocLUzCNodj4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is showing off her vanity and a shrine on display on top of it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 94, 136 ] ] }, { "id": 6987, "vid": "ocLUzCNodj4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in red is preparing an ice coffee in a tall glass.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 130, 146 ] ] }, { "id": 7468, "vid": "ocLUzCNodj4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman sits in a dark car while it's raining outside speaking towards a camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 86, 120 ] ] }, { "id": 322, "vid": "2I9-kvemtSU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked man is carrying a wicker basket.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 86, 106 ] ] }, { "id": 2557, "vid": "2I9-kvemtSU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The kids are playing on the floor with the dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 82, 108 ] ] }, { "id": 6093, "vid": "2I9-kvemtSU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A shopping couple take a french pastry break at a Japanese mall\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 26, 66 ] ] }, { "id": 7569, "vid": "2I9-kvemtSU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young boy sits on the floor next to bags of chips.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 120, 144 ] ] }, { "id": 8524, "vid": "2I9-kvemtSU_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman and a man are eating spicy food\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 10018, "vid": "YtRhf0LQ_cc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Military vehicles are driving down the road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 54, 108 ] ] }, { "id": 1982, "vid": "hWr2e0vQaLA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: While riding in a tour bus a person films breathtaking mountain scenery.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111000000001110111001001000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 28, 29, 30, 31, 32, 35, 36, 38, 42, 43, 47 ], "relevant_windows": [ [ 20, 32 ], [ 56, 66 ], [ 70, 74 ], [ 76, 78 ], [ 84, 88 ], [ 94, 96 ] ] }, { "id": 5671, "vid": "hWr2e0vQaLA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with backpacks walks down a dirt road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011011111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 10, 16 ], [ 18, 20 ], [ 22, 36 ] ] }, { "id": 6308, "vid": "hWr2e0vQaLA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is walking up a mountain and recording the way up there.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 9862, "vid": "0Yf4z13YlrY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A visual rundown of Tanzanian constitution aired on the news.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111011111111011111111000000000000000" } ], "video_timestamps": [ 1.4, 4.0, 6.7, 9.4, 12.1, 14.8, 17.4, 20.1, 22.8, 25.5, 28.1, 30.8, 33.5, 36.2, 38.9, 41.5, 44.2, 46.9, 49.6, 52.3, 55.0, 57.7, 60.3, 63.0, 65.7, 68.4, 71.1, 73.7, 76.4, 79.1, 81.8, 84.4, 87.1, 89.8, 92.5, 95.2, 97.9, 100.5, 103.2, 105.9, 108.6, 111.2, 113.9, 116.6, 119.3, 122.0, 124.6, 127.4, 130.0, 132.7 ], "duration": 134, "relevant_clip_ids": [ 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 26, 34 ], [ 36, 46 ], [ 48, 58 ], [ 60, 70 ], [ 72, 82 ], [ 84, 94 ] ] }, { "id": 10022, "vid": "0Yf4z13YlrY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Black people wearing green outfits are speaking at a press conference with a green backdrop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001111111100010000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 67, 68 ], "relevant_windows": [ [ 102, 126 ], [ 134, 138 ] ] }, { "id": 5480, "vid": "HpO-sV7TSSk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman have a conversation in a airport lobby.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01110001111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 4, 12 ], [ 22, 62 ] ] }, { "id": 5532, "vid": "HpO-sV7TSSk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is sharing their travel highlights\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 48 ], [ 60, 150 ] ] }, { "id": 6316, "vid": "HpO-sV7TSSk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman holding a camera and then putting it inside a backpack\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 38, 60 ] ] }, { "id": 5548, "vid": "G7oh5A7gGpQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is browsing a make up selection in a store arranged in wooden crates.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 38, 62 ] ] }, { "id": 5592, "vid": "G7oh5A7gGpQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger is petting their dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 44, 66 ] ] }, { "id": 5836, "vid": "G7oh5A7gGpQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People take out crayons and draw on the menus.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 80, 94 ] ] }, { "id": 1849, "vid": "aXgE_cVxJi0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady giving tips about handling cameras and a little demo\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 6658, "vid": "aXgE_cVxJi0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a red top is hanging out on a street near the Eiffel tower.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 10, 24 ] ] }, { "id": 9450, "vid": "Uphs5-SxtXg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Ariel footage of huge procession on bridge\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 14 ], [ 16, 80 ], [ 82, 92 ], [ 94, 128 ], [ 130, 150 ] ] }, { "id": 587, "vid": "6gmGISTKDPw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Computer screen showing different swimsuits.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 8 ], [ 10, 24 ] ] }, { "id": 1685, "vid": "6gmGISTKDPw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman in a purple tank top drives a car and talks.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 2479, "vid": "6gmGISTKDPw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shirtless man and woman are affectionate on the bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111110000001111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 2, 22 ], [ 40, 50 ] ] }, { "id": 7364, "vid": "6gmGISTKDPw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wears a blue tank sitting in a greenhouse.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 8813, "vid": "6gmGISTKDPw_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A female driver speaks as her vehicle is in motion.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 0, 116 ] ] }, { "id": 124, "vid": "EUTccoeKVZg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman holds up her phone near her face with fluffing her hair with her hand.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 13, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 20, 22 ], [ 26, 28 ], [ 30, 44 ] ] }, { "id": 424, "vid": "EUTccoeKVZg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wearing Champion shirt monologues in front of the fridge.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 12, 58 ] ] }, { "id": 4909, "vid": "EUTccoeKVZg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Indian lady in red Ghagra Choli dress having a photoshoot session with her crew in the woods.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 62, 84 ] ] }, { "id": 7467, "vid": "EUTccoeKVZg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy carries a red bag.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 20, 42 ] ] }, { "id": 1054, "vid": "dsmZngVgytA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man talks to the camera from the plane window.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000010000111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 40, 43, 44, 45, 46, 47, 48, 50, 51 ], "relevant_windows": [ [ 72, 76 ], [ 80, 82 ], [ 86, 98 ], [ 100, 104 ] ] }, { "id": 1830, "vid": "dsmZngVgytA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman stand in front of the universal studios sign.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 118, 140 ] ] }, { "id": 4637, "vid": "dsmZngVgytA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple arrive at a station and look at the rail map.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 106, 130 ] ] }, { "id": 8984, "vid": "dsmZngVgytA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man has his arm around a woman walking down the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.4, 7.2, 10.1, 13.0, 15.9, 18.7, 21.6, 24.5, 27.4, 30.3, 33.1, 36.0, 38.9, 41.8, 44.7, 47.6, 50.4, 53.3, 56.2, 59.1, 62.0, 64.8, 67.7, 70.6, 73.5, 76.4, 79.3, 82.1, 85.0, 87.9, 90.8, 93.7, 96.5, 99.4, 102.3, 105.2, 108.1, 111.0, 113.8, 116.7, 119.6, 122.5, 125.4, 128.2, 131.1, 134.0, 136.9, 139.7, 142.7 ], "duration": 144, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 60, 74 ] ] }, { "id": 2248, "vid": "nkgTGB5C7zk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple are traveling in the back of a taxi.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 96, 150 ] ] }, { "id": 3056, "vid": "nkgTGB5C7zk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray sleeveless top talks in a restaurant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 4559, "vid": "nkgTGB5C7zk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man walks along a busy street and describes it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 3126, "vid": "2BzoQ31IPhk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with white hat walks down the street in a white hat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111100000000000000110000000001000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 35, 36, 37, 51 ], "relevant_windows": [ [ 6, 28 ], [ 70, 76 ], [ 102, 104 ] ] }, { "id": 6519, "vid": "2BzoQ31IPhk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An asian woman is eating a pastry item in a cone\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 40, 54 ] ] }, { "id": 8061, "vid": "2BzoQ31IPhk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two Asian women are walking throughout the city together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011110111000000000000000011100000000011010010000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 40, 41, 42, 43, 44, 59, 60, 63, 67, 68 ], "relevant_windows": [ [ 8, 22 ], [ 24, 32 ], [ 80, 90 ], [ 118, 122 ], [ 126, 128 ], [ 134, 138 ] ] }, { "id": 9537, "vid": "FoykgiUvtiE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man with many military badges on his vest walks with a cane and gives a speech.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 1319, "vid": "m0cZFcXa5sc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person preparing a plate of food to eat\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 82, 116 ] ] }, { "id": 5070, "vid": "m0cZFcXa5sc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman rinses her hands and then some rice in the sink.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 74, 98 ] ] }, { "id": 6192, "vid": "m0cZFcXa5sc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black t-shirt is applying the cream on her face\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 68, 142 ] ] }, { "id": 8320, "vid": "m0cZFcXa5sc_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady with navy top is cleaning her work place.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 0, 38 ] ] }, { "id": 8542, "vid": "m0cZFcXa5sc_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is describing how her desk is organized and the accessories she is using.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100001111111111111111111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 0, 36 ], [ 48, 140 ] ] }, { "id": 4509, "vid": "RWvWkkCtjfY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is petting her very fluffy cat who looks to be sleepy.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 8156, "vid": "RWvWkkCtjfY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman photographs and pets her dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 76, 94 ] ] }, { "id": 245, "vid": "E9drfsoiGb4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is unloading food to the cashier.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111010000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18 ], "relevant_windows": [ [ 8, 34 ], [ 36, 38 ] ] }, { "id": 1251, "vid": "E9drfsoiGb4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A display of chicken tandoori on a plate\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 58, 80 ] ] }, { "id": 3951, "vid": "E9drfsoiGb4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: women filming during there shopping\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7070, "vid": "E9drfsoiGb4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman dumps the starch into the pot and scrapes off the rest.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011110100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 57, 58 ], "relevant_windows": [ [ 100, 112 ], [ 114, 118 ] ] }, { "id": 8709, "vid": "E9drfsoiGb4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing a green bottle of aloe vera product.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 4, 42 ] ] }, { "id": 2148, "vid": "czN-9IsQXoU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman and a child enjoy a train ride in an amusement park.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 32, 68 ] ] }, { "id": 5879, "vid": "czN-9IsQXoU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dolphins are doing stunts and tricks inside of a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 104, 140 ] ] }, { "id": 8143, "vid": "czN-9IsQXoU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family is being recorded while having dinner\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 98, 118 ] ] }, { "id": 1109, "vid": "UPwSDYkpzlk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds her daughter in the airport lobby.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 100, 120 ] ] }, { "id": 1123, "vid": "UPwSDYkpzlk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian woman touching her head while talking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001000011111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 38, 42 ], [ 54, 74 ] ] }, { "id": 3275, "vid": "M0aeShHuNvg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Videographer goes to a restaurant and orders drinks and food.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000010000000000000011111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54 ], "relevant_windows": [ [ 36, 38 ], [ 82, 110 ] ] }, { "id": 3498, "vid": "M0aeShHuNvg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady checking out a pamphlet of a visitor attraction\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 58, 90 ] ] }, { "id": 5694, "vid": "M0aeShHuNvg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in white top walk down the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 130, 144 ] ] }, { "id": 728, "vid": "M7mePz5cXDk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A redhead woman wearing an olive green shawl is hiking up a mountain.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111100001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 73, 74 ], "relevant_windows": [ [ 114, 134 ], [ 146, 150 ] ] }, { "id": 2149, "vid": "M7mePz5cXDk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wearing scarf walks down a mountain pass by herself.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10111111111000011110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 0, 4 ], [ 6, 34 ], [ 46, 58 ] ] }, { "id": 5723, "vid": "M7mePz5cXDk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in white top is walking down a mountain trail.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 6, 36 ] ] }, { "id": 1970, "vid": "13U4xVzZFQ8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of young people check into their AirBnB... and love it\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 42, 80 ] ] }, { "id": 7946, "vid": "13U4xVzZFQ8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a gray romper is showing off her outfit and modeling in different poses.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 92, 108 ] ] }, { "id": 8216, "vid": "13U4xVzZFQ8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women lie on the ground together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001000001110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 38, 42 ], [ 56, 66 ] ] }, { "id": 2274, "vid": "N7frLe-nQog_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy talks about the most expensive car in the world\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 50, 88 ] ] }, { "id": 3252, "vid": "N7frLe-nQog_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women showing some outstanding features of Ferrari\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 0, 138 ] ] }, { "id": 6445, "vid": "N7frLe-nQog_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The blonde woman talks to a man wearing a suit about the cars.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 78, 150 ] ] }, { "id": 1004, "vid": "xVJMPmmW7rE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men have a conversation in a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 5730, "vid": "xVJMPmmW7rE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man points to signs on the trail.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 92, 106 ] ] }, { "id": 8182, "vid": "xVJMPmmW7rE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men walk down the trail together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 92, 106 ] ] }, { "id": 9061, "vid": "xVJMPmmW7rE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red top hangs out around a waterfall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111101000000000100000000010000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 29, 43, 44, 58, 59 ], "relevant_windows": [ [ 40, 54 ], [ 58, 60 ], [ 86, 90 ], [ 116, 120 ] ] }, { "id": 9671, "vid": "N8dPpthy7z4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a red white and blue mask is speaker at a congressional hearing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 50, 82 ] ] }, { "id": 9690, "vid": "N8dPpthy7z4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in blue suit talks in front of a castle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111100111000011111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 12, 13, 14, 15, 16, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 4, 18 ], [ 24, 34 ], [ 44, 76 ] ] }, { "id": 9879, "vid": "N8dPpthy7z4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two documents are shown next to each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 72, 100 ] ] }, { "id": 3355, "vid": "koupdIrQ4Xg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: African american girls sharing some beautiful beach shorts\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54 ], "relevant_windows": [ [ 84, 110 ] ] }, { "id": 6618, "vid": "koupdIrQ4Xg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three female friends talk and have fun in their apartment stood up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 24, 68 ] ] }, { "id": 8204, "vid": "koupdIrQ4Xg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women dance dressed up before they go to the party.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001100111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 17, 18, 19, 20 ], "relevant_windows": [ [ 20, 28 ], [ 34, 42 ] ] }, { "id": 3727, "vid": "9Xzrtwiint4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shoppers wear masks at Target.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011110010000001100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 18, 28, 29, 30, 31 ], "relevant_windows": [ [ 18, 30 ], [ 36, 38 ], [ 56, 64 ] ] }, { "id": 3857, "vid": "9Xzrtwiint4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Asian girl girl vlogs in front of her bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111000000111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 70 ], [ 88, 150 ] ] }, { "id": 3995, "vid": "9Xzrtwiint4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is shopping for produce at a grocery store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 106, 136 ] ] }, { "id": 7055, "vid": "9Xzrtwiint4_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman takes a look inside of the fridge\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 58, 80 ] ] }, { "id": 8927, "vid": "9Xzrtwiint4_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is shirtless in the bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011000000000000000000000000000000000100111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 66, 67, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 26, 32 ], [ 132, 136 ], [ 140, 150 ] ] }, { "id": 9479, "vid": "7QNJyAIprhg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Lots of emergency vehicles are parked with lights blazing.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000011000000000110000100111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 34, 41, 42, 57, 59, 66, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 18 ], [ 68, 70 ], [ 82, 86 ], [ 114, 116 ], [ 118, 120 ], [ 132, 134 ], [ 142, 150 ] ] }, { "id": 9485, "vid": "7QNJyAIprhg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Police officer trying to control BLM protestors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000000001111111111110000000001111101000000011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 72, 73, 74 ], "relevant_windows": [ [ 0, 8 ], [ 40, 74 ], [ 102, 118 ], [ 120, 124 ], [ 144, 150 ] ] }, { "id": 9489, "vid": "7QNJyAIprhg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Policemen holding arms taking cover behind a truck.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001110100000000001111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 17, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 20, 30 ], [ 34, 36 ], [ 66, 98 ] ] }, { "id": 1223, "vid": "kPXnelu5wZk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman is chatting while wearing a yellow sweater.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 92, 150 ] ] }, { "id": 2418, "vid": "kPXnelu5wZk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a baggy yellow shirt cooks food in a skillet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 80, 108 ] ] }, { "id": 2758, "vid": "kPXnelu5wZk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl talking and preparing beans & eggs for her breakfast\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 54, 98 ] ] }, { "id": 522, "vid": "TQ0nr6gTX6w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl in a tan jacket is struggling to close her packed suitcase.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 24, 40 ] ] }, { "id": 3830, "vid": "TQ0nr6gTX6w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: group of friends listening music and enjoying in car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 0, 42 ] ] }, { "id": 4791, "vid": "TQ0nr6gTX6w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of girls sing and dance to songs in a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 12, 30 ] ] }, { "id": 7000, "vid": "TQ0nr6gTX6w_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is hunched over in very tight jeans while walking down the street with friends.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 98, 112 ] ] }, { "id": 8488, "vid": "TQ0nr6gTX6w_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in blue top and black skinny jeans poses for the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 96, 112 ] ] }, { "id": 9854, "vid": "l5kIbQRjJHk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red top has a light attached to it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 82, 96 ] ] }, { "id": 9980, "vid": "l5kIbQRjJHk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large white ship with the name Open Arms is sailing in the ocean.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 10003, "vid": "l5kIbQRjJHk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Emergency workers are arriving on a boat and putting on orange vests.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000110000000001110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 24, 25, 26, 27 ], "relevant_windows": [ [ 16, 22 ], [ 48, 56 ] ] }, { "id": 625, "vid": "UCCqLmaF6n0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks to the camera while she's in a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 938, "vid": "UCCqLmaF6n0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds a watermelon with a straw in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000010011111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 36, 40 ], [ 46, 60 ] ] }, { "id": 4713, "vid": "UCCqLmaF6n0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple hiking together up a popular trail next to a stone wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 20, 64 ] ] }, { "id": 1214, "vid": "xjV76k420Rc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man gets his hair styled at a salon.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 50, 76 ] ] }, { "id": 4974, "vid": "xjV76k420Rc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a white mask is explaining a motorcycle exhaust pipe.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 72, 112 ] ] }, { "id": 4978, "vid": "xjV76k420Rc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A motorcycle LED display is visible from the drivers seat as a motorcycle speeds down the road at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 108, 142 ] ] }, { "id": 1462, "vid": "cOcN2KUgM7U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman applies makeup on her face then removes a hair band.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11101110111011000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 2, 3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 19, 20 ], "relevant_windows": [ [ 0, 2 ], [ 4, 10 ], [ 12, 22 ], [ 24, 34 ], [ 36, 42 ] ] }, { "id": 1495, "vid": "cOcN2KUgM7U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl making a healthy juice for breakfast and sharing tips\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 60, 128 ] ] }, { "id": 6267, "vid": "cOcN2KUgM7U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A fashionably dressed young woman does some yoga at home to stretch out\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 70, 98 ] ] }, { "id": 854, "vid": "xXWKd1b3SHM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is getting her tent set up near other blue tents.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 1919, "vid": "xXWKd1b3SHM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The couple visit a village market.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 92, 126 ] ] }, { "id": 5821, "vid": "xXWKd1b3SHM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Groups of monkeys are roaming around outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 120, 144 ] ] }, { "id": 230, "vid": "oQeSC0A1wuc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is wearing a yellow mask in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 0, 74 ] ] }, { "id": 252, "vid": "oQeSC0A1wuc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man puts on his mask in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 16, 32 ] ] }, { "id": 1797, "vid": "oQeSC0A1wuc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young man narrates maskless while a woman next to him drives wearing mask.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111011111111111111111111110111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 70 ], [ 72, 74 ], [ 76, 134 ], [ 136, 138 ], [ 140, 150 ] ] }, { "id": 6980, "vid": "oQeSC0A1wuc_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The passenger in a car lowers his facemask to his chin before putting it back up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 14, 36 ] ] }, { "id": 911, "vid": "OckQzacSi4w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman wearing a hat buys a coconut from a vendor and drinks the coconut juice and eats the coconut meat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 0, 76 ] ] }, { "id": 2256, "vid": "OckQzacSi4w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman gets a pedicure in a salon.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 94, 150 ] ] }, { "id": 3076, "vid": "OckQzacSi4w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Black woman walks on a dirt road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111110111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 62, 84 ], [ 86, 98 ] ] }, { "id": 2277, "vid": "K5PTawokTA4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl film a beautiful squirrel on the tree\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 24, 56 ] ] }, { "id": 7724, "vid": "K5PTawokTA4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in long brown hair is trying on a black hat in a shop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 108, 122 ] ] }, { "id": 8084, "vid": "K5PTawokTA4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl with white floral top walks down the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111000000000000000111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 34, 70 ], [ 114, 130 ] ] }, { "id": 2429, "vid": "Y2GVVC_cD_E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: White man giving interview at beautiful location\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111110110" } ], "video_timestamps": [ 1.4, 4.2, 7.0, 9.8, 12.6, 15.4, 18.2, 21.0, 23.8, 26.6, 29.4, 32.2, 35.0, 37.8, 40.6, 43.4, 46.2, 49.0, 51.8, 54.6, 57.4, 60.2, 63.0, 65.8, 68.5, 71.3, 74.1, 76.9, 79.7, 82.5, 85.3, 88.1, 90.9, 93.7, 96.5, 99.3, 102.1, 104.9, 107.7, 110.5, 113.3, 116.1, 118.9, 121.7, 124.5, 127.3, 130.1, 132.9, 135.7, 138.5 ], "duration": 140, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 66, 67 ], "relevant_windows": [ [ 0, 128 ], [ 132, 136 ] ] }, { "id": 2611, "vid": "Y2GVVC_cD_E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black top stands next to a grill on his balcony.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 108, 148 ] ] }, { "id": 3325, "vid": "Y2GVVC_cD_E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy been interviewed at outdoors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111011111111111111111110000" } ], "video_timestamps": [ 1.4, 4.2, 7.0, 9.8, 12.6, 15.4, 18.2, 21.0, 23.8, 26.6, 29.4, 32.2, 35.0, 37.8, 40.6, 43.4, 46.2, 49.0, 51.8, 54.6, 57.4, 60.2, 63.0, 65.8, 68.5, 71.3, 74.1, 76.9, 79.7, 82.5, 85.3, 88.1, 90.9, 93.7, 96.5, 99.3, 102.1, 104.9, 107.7, 110.5, 113.3, 116.1, 118.9, 121.7, 124.5, 127.3, 130.1, 132.9, 135.7, 138.5 ], "duration": 140, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 0, 74 ], [ 76, 128 ] ] }, { "id": 3566, "vid": "Y2GVVC_cD_E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black shirt works around his grill on the balcony.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 98, 150 ] ] }, { "id": 4785, "vid": "Y2GVVC_cD_E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy in a black t shirt is sitting and talking by a hottub outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 6370, "vid": "Y2GVVC_cD_E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a black shirt and white pants is pacing around a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 24, 62 ] ] }, { "id": 1997, "vid": "UGafHWHJrLg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl having funny chat with boy friend about on ATM\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 12, 42 ] ] }, { "id": 3290, "vid": "UGafHWHJrLg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl Briefing about car in Bangkok\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10111111111111111111111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 0, 4 ], [ 6, 84 ] ] }, { "id": 7745, "vid": "UGafHWHJrLg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is excited about showing her bed with a big red heart in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100001110011110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 10, 11, 12, 13, 14, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 10 ], [ 20, 30 ], [ 36, 48 ] ] }, { "id": 711, "vid": "HZBdPoVFViw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black halter top takes a seat in a restaurant and shows the food she ordered.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 50, 70 ] ] }, { "id": 2374, "vid": "HZBdPoVFViw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks to the camera from the tallest floor of a building at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111110001111000111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 51, 52, 53, 54, 55, 56, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 78, 92 ], [ 102, 114 ], [ 122, 136 ] ] }, { "id": 1211, "vid": "HkLfNhgP0TM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man carries baby seat from a building into a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111011001101110101001100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 51, 52, 53, 56, 57, 58, 59, 61, 62, 64, 65, 69, 70, 71 ], "relevant_windows": [ [ 74, 88 ], [ 90, 96 ], [ 102, 108 ], [ 112, 120 ], [ 122, 126 ], [ 128, 132 ], [ 138, 144 ] ] }, { "id": 4934, "vid": "HkLfNhgP0TM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A baby is in a black car seat on the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 6228, "vid": "HkLfNhgP0TM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby rides in a car seat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010000111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 8, 12 ], [ 24, 34 ] ] }, { "id": 7215, "vid": "HkLfNhgP0TM_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman lays down on the couch while talking to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7441, "vid": "HkLfNhgP0TM_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby lays in a white crib.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 0, 62 ] ] }, { "id": 2486, "vid": "MkdG8OXExIo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman with gray top talks while driving her car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 100, 150 ] ] }, { "id": 2808, "vid": "MkdG8OXExIo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing her process of setting up the couch area.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 7001, "vid": "MkdG8OXExIo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person examines the cups on the counter and notices how scratched they are.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001000111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 112, 114 ], [ 122, 146 ] ] }, { "id": 8478, "vid": "MkdG8OXExIo_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in pink top is putting flowers in a vase and then showing close up view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 114, 132 ] ] }, { "id": 1389, "vid": "WINZiMUH7Lk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A mother and daughter sit next to each other surrounded by lights.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000111111111110000000011111100000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 14 ], [ 24, 58 ], [ 80, 100 ], [ 118, 150 ] ] }, { "id": 2214, "vid": "WINZiMUH7Lk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cute conversation between me and my doughter\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111010101110010000110100010101010010000110001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 8, 9, 11, 14, 17, 20, 21, 23, 27, 31, 34, 35, 36, 39, 40, 43, 45, 48, 51, 54, 59, 64, 66, 68, 74 ], "relevant_windows": [ [ 2, 4 ], [ 16, 20 ], [ 22, 24 ], [ 28, 30 ], [ 34, 36 ], [ 40, 44 ], [ 46, 48 ], [ 54, 56 ], [ 62, 64 ], [ 68, 74 ], [ 78, 82 ], [ 86, 88 ], [ 90, 92 ], [ 96, 98 ], [ 102, 104 ], [ 108, 110 ], [ 118, 120 ], [ 128, 130 ], [ 132, 134 ], [ 136, 138 ], [ 148, 150 ] ] }, { "id": 4814, "vid": "WINZiMUH7Lk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is being wrapped in a towel by her mother.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 18, 34 ] ] }, { "id": 5246, "vid": "WINZiMUH7Lk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young girl monologues with a subscribe button underneath.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 12, 28 ] ] }, { "id": 6410, "vid": "WINZiMUH7Lk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A mother dumps water on a child and helps her dry off after.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 6, 34 ] ] }, { "id": 7654, "vid": "WINZiMUH7Lk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little girl in yellow encourages her followers to follow and subscribe to her YouTube channel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 10234, "vid": "ShVIW46xP7g_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Employees are wearing safety vests working in a warehouse.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000000000000000000000000000000000011111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 0, 8 ], [ 118, 132 ] ] }, { "id": 588, "vid": "nJUP36AmrSM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl is vlogging in a black sweatshirt.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111101110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 69, 70, 71, 72 ], "relevant_windows": [ [ 124, 134 ], [ 138, 146 ] ] }, { "id": 1335, "vid": "nJUP36AmrSM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Computer programs are pulled over a person in the shot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011010000000111001100000000000000000000000011110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 9, 10, 21, 22, 23, 24, 29, 30, 31, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 10, 16 ], [ 18, 22 ], [ 42, 50 ], [ 58, 64 ], [ 136, 146 ] ] }, { "id": 3703, "vid": "nJUP36AmrSM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger holds up different foods.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111001111111110101111111011000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 63, 64, 65 ], "relevant_windows": [ [ 50, 60 ], [ 66, 92 ], [ 96, 100 ], [ 102, 122 ], [ 126, 132 ] ] }, { "id": 7299, "vid": "nJUP36AmrSM_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds the camera to show off her outfit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 8295, "vid": "nJUP36AmrSM_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black hoodie is talking in front of the camera while she is sitting\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111100111111111111000000000" } ], "video_timestamps": [ 1.5, 4.4, 7.4, 10.3, 13.3, 16.3, 19.2, 22.2, 25.1, 28.1, 31.0, 34.0, 37.0, 39.9, 42.9, 45.8, 48.8, 51.7, 54.7, 57.6, 60.6, 63.5, 66.5, 69.5, 72.4, 75.4, 78.3, 81.3, 84.3, 87.2, 90.2, 93.1, 96.1, 99.0, 102.0, 105.0, 107.9, 110.9, 113.8, 116.8, 119.7, 122.7, 125.6, 128.6, 131.5, 134.5, 137.5, 140.4, 143.4, 146.4 ], "duration": 148, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 48, 80 ], [ 86, 122 ] ] }, { "id": 778, "vid": "5oucQKLn88A_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef makes dinner in a restaurant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 94, 114 ] ] }, { "id": 5775, "vid": "5oucQKLn88A_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in pink sari drinks a cocktail.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 34, 50 ] ] }, { "id": 6532, "vid": "5oucQKLn88A_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with a bun hairstyle sits in the shallow waters of the beach and relaxes there.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 100, 150 ] ] }, { "id": 32, "vid": "XcJPd4NhhCs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is stirring and eating her oatmeal.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 18, 40 ] ] }, { "id": 2405, "vid": "XcJPd4NhhCs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: After setting down her drink, the driver of the car picks up her phone to turn on some music.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 24, 50 ] ] }, { "id": 6019, "vid": "XcJPd4NhhCs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up beverages in a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001000000010000000000000001111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 45, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 66, 68 ], [ 90, 92 ], [ 138, 150 ] ] }, { "id": 8666, "vid": "XcJPd4NhhCs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman shows her outfit that she really likes: baggy sweatpants, little cropped long sleeve, and red nikes\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011110111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 120 ], [ 122, 150 ] ] }, { "id": 8937, "vid": "XcJPd4NhhCs_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman is in a car surrounded by trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 18, 58 ] ] }, { "id": 683, "vid": "_KxhUp5EzZ8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman picks up makeup from the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111100100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 71 ], "relevant_windows": [ [ 120, 134 ], [ 142, 144 ] ] }, { "id": 2226, "vid": "_KxhUp5EzZ8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: My travel bag packing during Covid19\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000011010000100000000000100101100100100101010001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 7, 9, 10, 11, 14, 21, 28, 39, 43, 44, 46, 47, 48, 49, 52, 53, 55, 57, 62, 65, 68, 70, 73, 74 ], "relevant_windows": [ [ 0, 2 ], [ 14, 16 ], [ 18, 24 ], [ 28, 30 ], [ 42, 44 ], [ 56, 58 ], [ 78, 80 ], [ 86, 90 ], [ 92, 100 ], [ 104, 108 ], [ 110, 112 ], [ 114, 116 ], [ 124, 126 ], [ 130, 132 ], [ 136, 138 ], [ 140, 142 ], [ 146, 150 ] ] }, { "id": 5964, "vid": "_KxhUp5EzZ8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shows off clothes she plans to travel with.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000000000000000000000111000011111111101111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 0, 4 ], [ 70, 78 ], [ 90, 116 ], [ 120, 140 ] ] }, { "id": 953, "vid": "M2MuFhHSfIU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Guys sitting and talking on a locker room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 4485, "vid": "M2MuFhHSfIU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red sweatshirt vlogs from a locker room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100000000000000000000000000000000000011111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 2, 8 ], [ 118, 148 ] ] }, { "id": 5772, "vid": "M2MuFhHSfIU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man walks down the street with his red hood up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54 ], "relevant_windows": [ [ 0, 110 ] ] }, { "id": 4982, "vid": "JlWjckrziyw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is reading a book.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 10, 24 ] ] }, { "id": 5037, "vid": "JlWjckrziyw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman reads the synopsis of a book and comments on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 84, 116 ] ] }, { "id": 5299, "vid": "JlWjckrziyw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger sprinkles chocolate on rice cakes.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111101100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 24, 25, 26 ], "relevant_windows": [ [ 28, 44 ], [ 48, 54 ] ] }, { "id": 8358, "vid": "JlWjckrziyw_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady with black top is eating a microwave meal\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 21 ], "relevant_windows": [ [ 22, 40 ], [ 42, 44 ] ] }, { "id": 8514, "vid": "JlWjckrziyw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady with black top is eating a bowl of stir fry.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 2320, "vid": "0rES0DQHGis_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls travelling in a shuttle to reach a airport\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 32, 72 ] ] }, { "id": 4314, "vid": "0rES0DQHGis_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls getting ready to go to an airport in an early morning\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 507, "vid": "m_-A8xoc1Oo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Baby is in a swing harness.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 20, 48 ] ] }, { "id": 5130, "vid": "m_-A8xoc1Oo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man helps a young boy brush his teeth.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 78, 150 ] ] }, { "id": 6063, "vid": "m_-A8xoc1Oo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black clothes is taking care of her kid while a man in red hoodie is recording it\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111101111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 62, 100 ], [ 102, 140 ] ] }, { "id": 6909, "vid": "m_-A8xoc1Oo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in red sweater does his son's homework at a desk\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000011100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 50, 51, 52, 53 ], "relevant_windows": [ [ 56, 82 ], [ 100, 108 ] ] }, { "id": 7174, "vid": "m_-A8xoc1Oo_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger makes herself a cheese pizza.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 40, 56 ] ] }, { "id": 765, "vid": "P1iT-STRbYo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger tours a European cathedral.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111100010000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 54 ], "relevant_windows": [ [ 86, 98 ], [ 108, 110 ] ] }, { "id": 2205, "vid": "P1iT-STRbYo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady rented a Scooty for her travel to Auroville\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 78, 102 ] ] }, { "id": 6574, "vid": "P1iT-STRbYo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shows her simple, clean, decent 3-star hotel room with sea-vibe decor in India\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 64 ], "relevant_windows": [ [ 8, 80 ], [ 128, 130 ] ] }, { "id": 2783, "vid": "gY3GOIn80k8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young tourist girls having lunch outside\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 96, 118 ] ] }, { "id": 5193, "vid": "gY3GOIn80k8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: YouTube creator briefly explains Skillshare online learning courses\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001110111011000111000000000100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 39, 40, 41, 42, 43, 52, 57, 58 ], "relevant_windows": [ [ 38, 48 ], [ 50, 60 ], [ 62, 70 ], [ 78, 88 ], [ 104, 106 ], [ 114, 118 ] ] }, { "id": 6052, "vid": "gY3GOIn80k8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The blonde woman works out in a gym with red lighting.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 22, 40 ] ] }, { "id": 7311, "vid": "gY3GOIn80k8_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is sitting next to a man speaking about a future trip.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 18, 46 ] ] }, { "id": 7410, "vid": "gY3GOIn80k8_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman does her beauty routine in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 60, 108 ] ] }, { "id": 1221, "vid": "4-0FTFa0WjM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy opens toy car and shows it off.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 42, 68 ] ] }, { "id": 1464, "vid": "4-0FTFa0WjM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little boy unwrapping some Christmas gifts\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111100010000111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 36, 37, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 48, 62 ], [ 72, 76 ], [ 86, 96 ] ] }, { "id": 4847, "vid": "4-0FTFa0WjM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Family opens Christmas presents together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000111111111111010001111110011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 56, 57, 58, 59, 60, 61, 62, 63, 64, 68, 69, 70, 71, 72, 74 ], "relevant_windows": [ [ 0, 48 ], [ 60, 96 ], [ 100, 102 ], [ 112, 130 ], [ 136, 146 ], [ 148, 150 ] ] }, { "id": 1304, "vid": "h_XoA5-_8W0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A decorative light on the walking street\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011000011111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 100, 104 ], [ 118, 142 ] ] }, { "id": 1724, "vid": "h_XoA5-_8W0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man talking from his parked car\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 14, 52 ] ] }, { "id": 6084, "vid": "h_XoA5-_8W0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger fills their car up with gas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011101111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 28, 36 ], [ 40, 72 ] ] }, { "id": 7035, "vid": "h_XoA5-_8W0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is browsing in the toothbrush section of a store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 8675, "vid": "h_XoA5-_8W0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with baseball cap talks in parked car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 22, 54 ] ] }, { "id": 10006, "vid": "9A_pVLuhN4Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Trump and Pence are speaking in front of different podiums.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11110000011000111000000000000000000000000000000000" } ], "video_timestamps": [ 1.4, 4.1, 6.9, 9.7, 12.5, 15.3, 18.0, 20.8, 23.6, 26.4, 29.2, 31.9, 34.7, 37.5, 40.3, 43.1, 45.8, 48.6, 51.4, 54.2, 57.0, 59.7, 62.5, 65.3, 68.0, 70.8, 73.6, 76.4, 79.2, 81.9, 84.7, 87.5, 90.3, 93.1, 95.8, 98.6, 101.4, 104.2, 107.0, 109.7, 112.5, 115.3, 118.1, 120.8, 123.6, 126.4, 129.2, 131.9, 134.7, 137.5 ], "duration": 140, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 12, 13, 14, 19, 20, 21, 22 ], "relevant_windows": [ [ 0, 12 ], [ 24, 30 ], [ 38, 46 ] ] }, { "id": 623, "vid": "FbUT42sj_os_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A seating area is located outside and is made up of circular stools and tables.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 972, "vid": "FbUT42sj_os_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wears a black sleeveless shirt while walking with his girlfriend.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 40, 80 ] ] }, { "id": 3164, "vid": "FbUT42sj_os_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black shirt talks in a gyro restaurant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111001101100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 33, 34, 35 ], "relevant_windows": [ [ 12, 52 ], [ 56, 62 ], [ 66, 72 ] ] }, { "id": 9554, "vid": "kE-LxJdtTT0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Rapist being sentenced in court\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111010000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 9, 10 ], "relevant_windows": [ [ 0, 14 ], [ 18, 22 ] ] }, { "id": 9746, "vid": "kE-LxJdtTT0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman visits a graveyard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 82, 108 ] ] }, { "id": 10099, "vid": "kE-LxJdtTT0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is wearing a beige headwrap.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111011111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 74, 86 ], [ 90, 106 ] ] }, { "id": 9266, "vid": "lnlwkeOq25k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Devastating scenes of flooding after heavy rain fall\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100011111010111000001100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 33, 42, 43, 44 ], "relevant_windows": [ [ 0, 28 ], [ 36, 52 ], [ 54, 58 ], [ 60, 68 ], [ 84, 90 ] ] }, { "id": 1906, "vid": "YBhpID-rR6o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family set up camp by a river\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 56, 92 ] ] }, { "id": 4242, "vid": "YBhpID-rR6o_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women in red top makes the food outdoors.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00110011100000000000000011100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 9, 10, 11, 12, 36, 37, 38, 39, 40, 43 ], "relevant_windows": [ [ 6, 12 ], [ 18, 26 ], [ 72, 82 ], [ 86, 88 ] ] }, { "id": 4281, "vid": "YBhpID-rR6o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman show different things from their pantry.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001101111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 20, 26 ], [ 30, 64 ] ] }, { "id": 2355, "vid": "q4WEUoz2wHc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A panel is talking in a auditorium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 38, 60 ] ] }, { "id": 3576, "vid": "q4WEUoz2wHc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is playing an instrument in the stage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 20, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 26, 28 ], [ 40, 42 ], [ 122, 150 ] ] }, { "id": 5764, "vid": "q4WEUoz2wHc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large group of people have their phones up.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001001100000000000001111111110011100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 29, 30, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 48, 50 ], [ 58, 62 ], [ 102, 130 ], [ 134, 144 ] ] }, { "id": 296, "vid": "-4Mlqc7PbZY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is looking out over a misty valley through some trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 4135, "vid": "-4Mlqc7PbZY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman showing the content of a plastic basket\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 12, 42 ] ] }, { "id": 4884, "vid": "-4Mlqc7PbZY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A blonde woman is walking in the rain under a green floral umbrella.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 60, 92 ] ] }, { "id": 8859, "vid": "-4Mlqc7PbZY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different cards are on display on a shelf.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 2822, "vid": "CltHKz3Zfxc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: White American girl having fun in Nigeria at Festival\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 106, 150 ] ] }, { "id": 3629, "vid": "CltHKz3Zfxc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three men talk and make gestures near an outdoor structure.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 6206, "vid": "CltHKz3Zfxc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in yellow top receives medical attention.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111100101111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 26, 62 ], [ 70, 72 ], [ 74, 94 ] ] }, { "id": 237, "vid": "iuMlh75-tzs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is working out to the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111100000000001000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 33 ], "relevant_windows": [ [ 0, 36 ], [ 66, 68 ] ] }, { "id": 1261, "vid": "iuMlh75-tzs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman is walking around in a nearly empty basketball arena.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 84, 150 ] ] }, { "id": 3851, "vid": "iuMlh75-tzs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman in the purple sports bra does some stretches facing the mirror on the wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 46, 78 ] ] }, { "id": 7348, "vid": "iuMlh75-tzs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is getting a tour of the empty LA Lakers stadium decorating in purple and gold.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.3, 3.9, 6.5, 9.0, 11.6, 14.2, 16.8, 19.3, 21.9, 24.5, 27.1, 29.6, 32.2, 34.8, 37.4, 40.0, 42.6, 45.1, 47.7, 50.3, 52.9, 55.4, 58.0, 60.6, 63.2, 65.7, 68.3, 70.9, 73.5, 76.1, 78.6, 81.2, 83.8, 86.4, 89.0, 91.5, 94.1, 96.7, 99.3, 101.9, 104.4, 107.0, 109.6, 112.2, 114.7, 117.3, 119.9, 122.5, 125.0, 127.6 ], "duration": 130, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 14, 40 ] ] }, { "id": 1842, "vid": "DDiq5C34KL4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of photos and small trinkets are on display in a museum.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 44, 78 ] ] }, { "id": 1938, "vid": "DDiq5C34KL4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Places to visit in Oban ,Scotland\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011110001110110101100000000110000001011001110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 7, 9, 11, 12, 14, 16, 19, 20, 21, 23, 26, 27, 28, 30, 31, 33, 35, 37, 40, 46, 48, 50, 52, 58, 60, 63, 65, 67, 69, 71, 72, 73 ], "relevant_windows": [ [ 2, 4 ], [ 14, 16 ], [ 18, 20 ], [ 22, 26 ], [ 28, 30 ], [ 32, 34 ], [ 38, 44 ], [ 46, 48 ], [ 52, 58 ], [ 60, 64 ], [ 66, 68 ], [ 70, 72 ], [ 74, 76 ], [ 80, 82 ], [ 92, 94 ], [ 96, 98 ], [ 100, 102 ], [ 104, 106 ], [ 116, 118 ], [ 120, 122 ], [ 126, 128 ], [ 130, 132 ], [ 134, 136 ], [ 138, 140 ], [ 142, 148 ] ] }, { "id": 8206, "vid": "DDiq5C34KL4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Map shows where Scotland is.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 28, 52 ] ] }, { "id": 411, "vid": "eeeYIo6nxcA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Family photos and videos of Disney World are shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000110000000000000011110000000111111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 31, 32, 33, 34, 35, 36, 37, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 16, 20 ], [ 62, 76 ], [ 96, 114 ] ] }, { "id": 2861, "vid": "eeeYIo6nxcA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple's selfie video about their visit to Magic Kingdom\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 3747, "vid": "eeeYIo6nxcA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist couple giving reviews on food and rides\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 8309, "vid": "eeeYIo6nxcA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black blouse and a man in a pink t-shirt are talking in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10111111111111101111111111111111111000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 4 ], [ 6, 46 ], [ 48, 106 ], [ 130, 150 ] ] }, { "id": 8824, "vid": "eeeYIo6nxcA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple are talking and showing the food and drink they had in the restaurant.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111100000101000000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 44, 45, 46, 47, 48, 49, 57, 60, 61, 73, 74 ], "relevant_windows": [ [ 82, 86 ], [ 88, 100 ], [ 114, 116 ], [ 120, 124 ], [ 146, 150 ] ] }, { "id": 9236, "vid": "CY5BA25sRHw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: News reader talk glacier disaster\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 44, 66 ] ] }, { "id": 1836, "vid": "uPPb8CxB6-o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple are about to have a Ukrainian food dinner\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 94, 118 ] ] }, { "id": 5394, "vid": "uPPb8CxB6-o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a backwards cap is visiting various stone monuments.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 86, 108 ] ] }, { "id": 3247, "vid": "HL60CCu_R44_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy showing a car boot\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 100, 130 ] ] }, { "id": 3354, "vid": "HL60CCu_R44_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man next to a small red car talking to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100111111111111111111111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 0, 8 ], [ 16, 84 ] ] }, { "id": 4240, "vid": "HL60CCu_R44_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The dashboard of the car when it's driving.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 53 ], "relevant_windows": [ [ 8, 34 ], [ 106, 108 ] ] }, { "id": 873, "vid": "gDgMQI6q448_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is giving a tour of the cruise ship rooms.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 2208, "vid": "gDgMQI6q448_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An excited young man gives a cabin tour on their overnight ferry\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 74, 128 ] ] }, { "id": 6441, "vid": "gDgMQI6q448_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Four people having some drinks at a restaurant while two of them talk to the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 8, 10 ], [ 12, 150 ] ] }, { "id": 9544, "vid": "NzyjaMWxNrU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Responders wearing bright colored vests are working in the field.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 30, 44 ] ] }, { "id": 10117, "vid": "NzyjaMWxNrU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: MAn with black overcoat stands in front of a tower at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111111111111111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 8, 10 ], [ 14, 118 ] ] }, { "id": 10132, "vid": "NzyjaMWxNrU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two TV show hosts sit on a red couch and discuss the news.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 66, 90 ] ] }, { "id": 9510, "vid": "c8j3h7fuYsY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A large yellow building complex is in the background as tear gas is launched towards it dispursing the crwods there.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111100001000000000000000000000000000000" } ], "video_timestamps": [ 1.2, 3.6, 6.0, 8.4, 10.8, 13.2, 15.6, 18.0, 20.4, 22.8, 25.2, 27.6, 30.0, 32.4, 34.8, 37.2, 39.6, 42.0, 44.4, 46.8, 49.2, 51.6, 54.0, 56.4, 58.8, 61.2, 63.6, 66.0, 68.4, 70.8, 73.2, 75.6, 78.0, 80.4, 82.8, 85.2, 87.6, 90.0, 92.4, 94.8, 97.2, 99.6, 102.1, 104.5, 106.9, 109.3, 111.7, 114.1, 116.5, 118.9 ], "duration": 120, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 23 ], "relevant_windows": [ [ 10, 36 ], [ 46, 48 ] ] }, { "id": 456, "vid": "CkWOpyrAXdw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef puts food into tupperware.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 112, 150 ] ] }, { "id": 2556, "vid": "CkWOpyrAXdw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian Girl cleaning her kitchen before cooking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 98, 150 ] ] }, { "id": 2669, "vid": "CkWOpyrAXdw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian girl making Cauliflower in Indian style\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111110111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 84 ], [ 86, 150 ] ] }, { "id": 7271, "vid": "CkWOpyrAXdw_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is adding flour and stock to a metal pan to make a base for a dish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 7571, "vid": "CkWOpyrAXdw_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman fries cauliflower in a saute pan.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 42, 78 ] ] }, { "id": 682, "vid": "Uw8hpJfV-uQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with yellow shirt leans back in her chair.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111110001000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 15 ], "relevant_windows": [ [ 2, 20 ], [ 30, 32 ] ] }, { "id": 4512, "vid": "Uw8hpJfV-uQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wears mirror sunglasses in her plane seat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011101111111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 36, 46 ], [ 48, 86 ] ] }, { "id": 3388, "vid": "x6IuCndPqkU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Road view from a moving car's mirror\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 76, 116 ] ] }, { "id": 4287, "vid": "x6IuCndPqkU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian woman inside a car with her seat belt on, talking to the camera while his husband drives.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111000110000111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 48, 49, 50, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 64, 88 ], [ 96, 102 ], [ 114, 144 ] ] }, { "id": 6419, "vid": "x6IuCndPqkU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: While a man drives a car, him and and wife chat amongst each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 4, 150 ] ] }, { "id": 9140, "vid": "x6IuCndPqkU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy is working on their laptop in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 50, 68 ] ] }, { "id": 686, "vid": "23YBs2JxE-k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman gives a monologue lying in bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 2093, "vid": "23YBs2JxE-k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady's video before the take-off of a plane\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 2309, "vid": "23YBs2JxE-k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A traveller on the way to airport from a car and witnessing empty roads\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 8, 52 ] ] }, { "id": 532, "vid": "A5PIgmXGIdI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man turns to talk to the camera in a parked car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 2, 24 ] ] }, { "id": 1395, "vid": "A5PIgmXGIdI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man shows us what a car can do.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000110000000101110001101001110111110011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 21, 22, 23, 34, 35, 37, 38, 39, 40, 41, 47, 48, 51, 52, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 72, 74 ], "relevant_windows": [ [ 0, 34 ], [ 42, 48 ], [ 68, 72 ], [ 74, 84 ], [ 94, 98 ], [ 102, 106 ], [ 112, 120 ], [ 124, 138 ], [ 144, 146 ], [ 148, 150 ] ] }, { "id": 3602, "vid": "A5PIgmXGIdI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Four cars are shown in a split screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 28, 52 ] ] }, { "id": 7138, "vid": "A5PIgmXGIdI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is kneeling beside his white Tesla brand car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 84, 100 ] ] }, { "id": 7398, "vid": "A5PIgmXGIdI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is showing the large black rims on a white sports car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 108, 124 ] ] }, { "id": 851, "vid": "SwIB-QlxNCo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are skiing and snowboarding down a mountain.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111100100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 48, 49 ], "relevant_windows": [ [ 72, 90 ], [ 96, 100 ] ] }, { "id": 965, "vid": "SwIB-QlxNCo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walking and sandboarding on some Dunes\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 14, 42 ] ] }, { "id": 6778, "vid": "SwIB-QlxNCo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The Black Canyon National Park can be seen from a high altitude featuring tall and sheer cliff edges.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 132 ], [ 134, 150 ] ] }, { "id": 4723, "vid": "DU3E7tTt0_s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: girl in black she is in super market enjoying in shopping and eating.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000100001111111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 78, 82 ], [ 92, 144 ] ] }, { "id": 5783, "vid": "DU3E7tTt0_s_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman poses next to golden balloon letters.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 106, 130 ] ] }, { "id": 8173, "vid": "DU3E7tTt0_s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Friends hug each other on the bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011101110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 69, 70, 71, 72 ], "relevant_windows": [ [ 126, 136 ], [ 138, 146 ] ] }, { "id": 1950, "vid": "c2iz3qqVRbg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple amazed by the view of the room they checked in\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 110, 150 ] ] }, { "id": 2008, "vid": "c2iz3qqVRbg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man explains the process of travelling to the Philippines with his mother who is researching on a laptop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010101011101110001001101110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 7, 8, 10, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 29, 33, 34, 35, 37, 38, 39, 40, 41, 43 ], "relevant_windows": [ [ 10, 12 ], [ 14, 18 ], [ 20, 24 ], [ 26, 36 ], [ 38, 48 ], [ 58, 60 ], [ 66, 72 ], [ 74, 84 ], [ 86, 88 ] ] }, { "id": 7783, "vid": "c2iz3qqVRbg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man sits next to woman working on their laptop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 36, 58 ] ] }, { "id": 1960, "vid": "Iu7nF2VLF3c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls checking out tamarind in a store\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 104, 126 ] ] }, { "id": 3070, "vid": "Iu7nF2VLF3c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different works of art are shown around Los Angeles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111000000001110000110000111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 29, 30, 31, 32, 39, 40, 41, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 24, 32 ], [ 58, 66 ], [ 78, 84 ], [ 96, 106 ] ] }, { "id": 4370, "vid": "Iu7nF2VLF3c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls sharing some beautiful scenes during the drive\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 0, 60 ] ] }, { "id": 3030, "vid": "KJ2il8oTpKY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman recording her trip to the shopping festival.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 0, 60 ] ] }, { "id": 4237, "vid": "KJ2il8oTpKY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Display of different foods in Dubai\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010001001001100000000000001101000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 10, 11, 13, 15, 16, 20, 21, 42, 43, 44, 47 ], "relevant_windows": [ [ 10, 12 ], [ 20, 24 ], [ 26, 28 ], [ 30, 34 ], [ 40, 44 ], [ 84, 90 ], [ 94, 96 ] ] }, { "id": 4673, "vid": "KJ2il8oTpKY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Water is running by the pier.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 76, 104 ] ] }, { "id": 395, "vid": "00DH3yn5C30_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds her a lobster coffee mug.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111100000000000000000001111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 82 ], [ 138, 150 ] ] }, { "id": 4837, "vid": "00DH3yn5C30_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman makes herself a sandwich.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 110, 124 ] ] }, { "id": 5250, "vid": "00DH3yn5C30_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person makes a gift package while sitting at a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 96, 126 ] ] }, { "id": 7314, "vid": "00DH3yn5C30_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is wearing a large red scarf.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111111111111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 44, 148 ] ] }, { "id": 8294, "vid": "00DH3yn5C30_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman shows the camera an enamel pin\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 58, 72 ] ] }, { "id": 1070, "vid": "R_ZGwbK0aXE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are riding on motorcycles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 110, 116 ], [ 118, 128 ] ] }, { "id": 3476, "vid": "R_ZGwbK0aXE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wears headphones around his neck while on the bus with his friend.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001000000000000000011100100111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 58, 59, 60, 61, 62, 66, 67, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 66, 68 ], [ 116, 126 ], [ 132, 136 ], [ 140, 150 ] ] }, { "id": 5826, "vid": "R_ZGwbK0aXE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man goes shopping for cigars.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001000000111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 15, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 30, 32 ], [ 50, 74 ] ] }, { "id": 9376, "vid": "n5alejF5k7c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: BLM protestor chanting there slogans\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.3, 3.9, 6.4, 8.9, 11.5, 14.0, 16.6, 19.1, 21.7, 24.2, 26.8, 29.3, 31.8, 34.4, 37.0, 39.5, 42.1, 44.6, 47.2, 49.7, 52.2, 54.8, 57.3, 59.9, 62.4, 65.0, 67.5, 70.1, 72.6, 75.2, 77.7, 80.3, 82.8, 85.4, 87.9, 90.4, 93.0, 95.6, 98.1, 100.7, 103.2, 105.8, 108.3, 110.8, 113.4, 115.9, 118.5, 121.0, 123.6, 126.1 ], "duration": 128, "relevant_clip_ids": [ 0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 6 ], [ 8, 28 ] ] }, { "id": 1254, "vid": "a6NmGMEsCWM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Students showing some of the buildings at their school.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111101110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 28, 46 ], [ 48, 58 ] ] }, { "id": 1555, "vid": "a6NmGMEsCWM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The two women are walking outdoors while chatting.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] }, { "id": 6226, "vid": "a6NmGMEsCWM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam view of a car in travel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 4, 30 ] ] }, { "id": 2302, "vid": "OvxqaVabXiE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A view of beach surrounded by mountains in Cape Town\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 6700, "vid": "OvxqaVabXiE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video showing different color of houses\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 0, 50 ] ] }, { "id": 6742, "vid": "OvxqaVabXiE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is showing attraction in the city from first person point of view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01101111111111011001111111110110111100000111110011" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23, 24, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 44, 45, 48, 49, 50, 51, 52, 53, 62, 63, 64, 65, 66, 67, 68, 72, 73, 74 ], "relevant_windows": [ [ 2, 10 ], [ 12, 42 ], [ 46, 52 ], [ 58, 84 ], [ 88, 92 ], [ 96, 108 ], [ 124, 138 ], [ 144, 150 ] ] }, { "id": 1046, "vid": "Z2hmY5JrQmo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black leans on a chair.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 4, 26 ] ] }, { "id": 3260, "vid": "Z2hmY5JrQmo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourist family checking out of airt port\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111110111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 66, 84 ], [ 86, 106 ] ] }, { "id": 5518, "vid": "Z2hmY5JrQmo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and kids do pushups on the floor.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 28, 42 ] ] }, { "id": 2967, "vid": "cpkXphR7tVo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Berries are placed in a glass bowl on the counter to be added to a dish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 16, 50 ] ] }, { "id": 5301, "vid": "cpkXphR7tVo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing her bowl of mixed berries.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 5986, "vid": "cpkXphR7tVo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman shows her kitchen and starts preparing grapefruit water\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 20, 46 ] ] }, { "id": 7319, "vid": "cpkXphR7tVo_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A black woman in black is review a yellow drink in a bottle that she bought.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17 ], "relevant_windows": [ [ 0, 30 ], [ 34, 36 ] ] }, { "id": 8586, "vid": "cpkXphR7tVo_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman shows a salad to the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111101000000000000000100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 31, 39, 40 ], "relevant_windows": [ [ 6, 14 ], [ 16, 28 ], [ 30, 32 ], [ 62, 64 ], [ 78, 82 ] ] }, { "id": 3277, "vid": "BxujMCkwFLI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl in a gray t shirt is doing her morning routine.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 10, 34 ] ] }, { "id": 4338, "vid": "BxujMCkwFLI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A teenage girl in braces is walking along the beach near palm trees.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 6442, "vid": "BxujMCkwFLI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl is drinking Starbucks shake drink while talking to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 25 ], "relevant_windows": [ [ 26, 44 ], [ 50, 52 ] ] }, { "id": 5614, "vid": "FXULtwAVFqQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman monologues while lying in bed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 58, 94 ] ] }, { "id": 6411, "vid": "FXULtwAVFqQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The young woman shows the cover of the book she's reading and the view from the poolside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 40, 62 ] ] }, { "id": 8006, "vid": "FXULtwAVFqQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman gets in the car while carrying coffee.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 26, 42 ] ] }, { "id": 4349, "vid": "4bCnOd17KNM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The food counter of a restaurant and the bag left on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 18, 48 ] ] }, { "id": 6472, "vid": "4bCnOd17KNM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Underwater views of whale sharks and people swimming with them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 12, 54 ] ] }, { "id": 6879, "vid": "4bCnOd17KNM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a safety helmet stands near a pool of water in the jungle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 80, 104 ] ] }, { "id": 1596, "vid": "ruYn5dOkIyI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls walk across a balance beam repeatedly.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111101111111111111111001111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74 ], "relevant_windows": [ [ 40, 64 ], [ 66, 114 ], [ 120, 140 ], [ 142, 150 ] ] }, { "id": 2763, "vid": "ruYn5dOkIyI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A construction-minded toddler tries to build a skyscraper\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 60, 106 ] ] }, { "id": 3924, "vid": "ruYn5dOkIyI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man plays with a child, together they build a tower.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 112, 134 ] ] }, { "id": 7424, "vid": "ruYn5dOkIyI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two girls and a dad stir batter on the counter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 8799, "vid": "ruYn5dOkIyI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two little girls are helping out putting the ingredients together and stir them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 98, 150 ] ] }, { "id": 2873, "vid": "XjkiAOp0BMY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady taking about her beauty products\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 58, 82 ] ] }, { "id": 6002, "vid": "XjkiAOp0BMY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in white hoodie is talking about her shoes in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 90, 150 ] ] }, { "id": 6234, "vid": "XjkiAOp0BMY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is getting ready for her 1st day of collage\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11011111111111111111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 0, 6 ], [ 10, 66 ] ] }, { "id": 8609, "vid": "XjkiAOp0BMY_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is wearing a pink top, white shorts and showing off her whole outfit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100010000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.3, 7.1, 10.0, 12.8, 15.7, 18.5, 21.4, 24.2, 27.1, 29.9, 32.8, 35.6, 38.5, 41.3, 44.2, 47.0, 49.9, 52.7, 55.5, 58.4, 61.3, 64.1, 66.9, 69.8, 72.7, 75.5, 78.3, 81.2, 84.0, 86.9, 89.7, 92.6, 95.4, 98.3, 101.1, 104.0, 106.8, 109.7, 112.5, 115.4, 118.2, 121.1, 123.9, 126.7, 129.6, 132.5, 135.3, 138.1, 141.0 ], "duration": 144, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 13 ], "relevant_windows": [ [ 0, 18 ], [ 26, 28 ] ] }, { "id": 8632, "vid": "XjkiAOp0BMY_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is showing her new shoes and cloths that she purchased online\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 0, 92 ] ] }, { "id": 9558, "vid": "Ud_RsVt_9Rs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man gives a speech behind a red podium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111111110011111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 48, 94 ], [ 98, 150 ] ] }, { "id": 10075, "vid": "Ud_RsVt_9Rs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is delivering a speech in front of a red podium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111001111111111111111111111110000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 32 ], [ 40, 112 ], [ 132, 150 ] ] }, { "id": 10306, "vid": "Ud_RsVt_9Rs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man from a red podium speaks in front of a crowd.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000111111111111111111001111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 52 ], [ 60, 114 ], [ 120, 150 ] ] }, { "id": 2834, "vid": "71Fa81Wr-dE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A baby's funny moments before having food\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111011111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 14 ], [ 18, 32 ] ] }, { "id": 3888, "vid": "71Fa81Wr-dE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: YouTube subscribe button is in the bottom left.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 26, 60 ] ] }, { "id": 5317, "vid": "71Fa81Wr-dE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds a cup of coffee.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111010001111111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 27, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 34, 50 ], [ 54, 56 ], [ 66, 90 ] ] }, { "id": 6995, "vid": "71Fa81Wr-dE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is holding up a tray full of sections of tiny herbs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 84, 98 ] ] }, { "id": 8764, "vid": "71Fa81Wr-dE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A little girl with pink coat is playing on the trampoline\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 26 ] ] }, { "id": 738, "vid": "2D67JzF1Vpk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman eating burgers from a place with red wrappers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 50, 82 ] ] }, { "id": 4181, "vid": "2D67JzF1Vpk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man stands in front of a wall with butterflies on the wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000000000000011011110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 0, 10 ], [ 54, 60 ], [ 62, 76 ] ] }, { "id": 5415, "vid": "2D67JzF1Vpk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is petting and feeding his black and white cat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 9185, "vid": "NXFCUXWkUvE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian broadcaster reports about causes of forest fire in Utter Akhund India\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 2160, "vid": "2X46BBkcCeY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple chilling on a beach sand\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 28, 56 ] ] }, { "id": 4474, "vid": "2X46BBkcCeY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman stand in front of a circular siver sculpture.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 124, 150 ] ] }, { "id": 8239, "vid": "2X46BBkcCeY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman lie in bed together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 70, 86 ] ] }, { "id": 1632, "vid": "LhzuoCF1ieo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A gut interviewing two girls for a TV program\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000010110000011001101001011000000000001001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 18, 21, 23, 32, 33, 38, 39, 42, 43, 46, 47, 50, 51, 58, 69, 74 ], "relevant_windows": [ [ 14, 16 ], [ 36, 38 ], [ 42, 44 ], [ 46, 48 ], [ 64, 68 ], [ 76, 80 ], [ 84, 88 ], [ 92, 96 ], [ 100, 104 ], [ 116, 118 ], [ 138, 140 ], [ 148, 150 ] ] }, { "id": 3770, "vid": "LhzuoCF1ieo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three people are sitting in a talk show.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000110000100000000001100100000000000110000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 12, 13, 14, 21, 38, 39, 43, 44, 55, 62, 63, 73, 74 ], "relevant_windows": [ [ 14, 16 ], [ 24, 30 ], [ 42, 44 ], [ 76, 80 ], [ 86, 90 ], [ 110, 112 ], [ 124, 128 ], [ 146, 150 ] ] }, { "id": 4941, "vid": "LhzuoCF1ieo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with blue turban talks in front of a group of women.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001101100000010100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 15, 17, 27, 28, 30, 31 ], "relevant_windows": [ [ 20, 28 ], [ 30, 32 ], [ 34, 36 ], [ 54, 58 ], [ 60, 64 ] ] }, { "id": 848, "vid": "ZjFzkhrqIZs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A shark is swimming underwater.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 0, 38 ] ] }, { "id": 5388, "vid": "ZjFzkhrqIZs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A whale shark is swimming near the surface of green waters.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 6794, "vid": "ZjFzkhrqIZs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video showing cities in Philippines\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 9548, "vid": "t9podLZljz0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cars are moving in the distant fog with their headlights on.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111000000000000111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 4, 42 ], [ 78, 96 ] ] }, { "id": 9646, "vid": "t9podLZljz0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with glasses gives a summary in the studio\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000111111111111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 0, 32 ], [ 68, 126 ] ] }, { "id": 9819, "vid": "t9podLZljz0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a blue dress is speaking in front of a display of blue banners with stars on them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 28, 46 ] ] }, { "id": 2428, "vid": "xQ5SY0ZDXZs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The driver's view of a motorcycle in transit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 114 ], [ 116, 150 ] ] }, { "id": 2441, "vid": "xQ5SY0ZDXZs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Drivers view of a motorcycle is in motion.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110111111111111111111111111111111111111001111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 22 ], [ 24, 132 ], [ 138, 150 ] ] }, { "id": 3669, "vid": "xQ5SY0ZDXZs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is showing off features on a white tricycle style motorcycle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 16, 48 ] ] }, { "id": 7234, "vid": "xQ5SY0ZDXZs_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam view of motorcycle parked at a crosswalk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 150 ] ] }, { "id": 8396, "vid": "xQ5SY0ZDXZs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is driving fast on the motorway on the bike.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 94, 142 ] ] }, { "id": 2232, "vid": "w1UC0rFTPcM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Human nature to compare things\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00100010100001010101010110100000101100000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 9, 12, 20, 23, 26, 28, 29, 32, 34, 35, 36, 39, 48, 49, 51, 53, 61, 66, 68, 69, 71, 72, 74 ], "relevant_windows": [ [ 6, 8 ], [ 18, 20 ], [ 24, 26 ], [ 40, 42 ], [ 46, 48 ], [ 52, 54 ], [ 56, 60 ], [ 64, 66 ], [ 68, 74 ], [ 78, 80 ], [ 96, 100 ], [ 102, 104 ], [ 106, 108 ], [ 122, 124 ], [ 132, 134 ], [ 136, 140 ], [ 142, 146 ], [ 148, 150 ] ] }, { "id": 4564, "vid": "w1UC0rFTPcM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talking and moving her arm in front of a sea background\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 32, 64 ] ] }, { "id": 6356, "vid": "w1UC0rFTPcM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: As a woman describes the Valley of Rocks, the feral goats get closer and closer\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111111111111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 36, 96 ] ] }, { "id": 689, "vid": "L8IkH3DPsVo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wearing Yankees hat lies on a towel on the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 64, 74 ], [ 76, 106 ] ] }, { "id": 2136, "vid": "L8IkH3DPsVo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple enjoying at pukka shell beach Philippines\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111111111111111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 64, 132 ], [ 134, 150 ] ] }, { "id": 2257, "vid": "L8IkH3DPsVo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a drone video the beach resort in the phillippines is shown then a man with no shirt and sunglasses is talking in front of camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00100100001100110011000000100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 8, 10, 15, 16, 17, 21, 22, 23, 27, 29, 39, 40 ], "relevant_windows": [ [ 6, 8 ], [ 16, 18 ], [ 20, 22 ], [ 30, 36 ], [ 42, 48 ], [ 54, 56 ], [ 58, 60 ], [ 78, 82 ] ] }, { "id": 10137, "vid": "bX9rzBk4maI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Money is left behind on the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 401, "vid": "PMm8xTk8ofI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a blue baseball cap is sitting while his son hangs on his back.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001110011111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 66, 74 ], [ 80, 96 ] ] }, { "id": 453, "vid": "PMm8xTk8ofI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy stands in the corner of the room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001101100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 64, 65, 66, 67 ], "relevant_windows": [ [ 120, 126 ], [ 128, 136 ] ] }, { "id": 5987, "vid": "PMm8xTk8ofI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mom holds and feeds her baby milk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 68, 82 ] ] }, { "id": 6953, "vid": "PMm8xTk8ofI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is letting a child play with his kindle book reader.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 110, 128 ] ] }, { "id": 1400, "vid": "2boYI6YVkCs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl does her skin care routine.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111100011001110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 59, 60, 65, 66, 67, 68 ], "relevant_windows": [ [ 96, 108 ], [ 118, 122 ], [ 130, 138 ] ] }, { "id": 1440, "vid": "2boYI6YVkCs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl in sweatshirt looks sits in front of her laptop looking stressed.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 2, 40 ] ] }, { "id": 9898, "vid": "5BGa1HJslJA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Graphics showing that the program will be discussing covid.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 130, 144 ] ] }, { "id": 10143, "vid": "5BGa1HJslJA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and group of men in white sing and play music together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 28, 44 ] ] }, { "id": 10160, "vid": "5BGa1HJslJA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman sit on opposite sides of a circle desk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011100110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 21, 22, 23 ], "relevant_windows": [ [ 26, 36 ], [ 42, 48 ] ] }, { "id": 3819, "vid": "uE1ciE0PCIU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman pours butter on top of the pie and spreads the melted butter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 52, 80 ] ] }, { "id": 5038, "vid": "uE1ciE0PCIU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman eats food from a casserole.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 58, 72 ] ] }, { "id": 6212, "vid": "uE1ciE0PCIU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chef cooks peaches in a pot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000000010000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 27 ], "relevant_windows": [ [ 0, 28 ], [ 54, 56 ] ] }, { "id": 7549, "vid": "uE1ciE0PCIU_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is speaking offscreen while multiple items can be seen being blended in a blender.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 94, 116 ] ] }, { "id": 8470, "vid": "uE1ciE0PCIU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boy is holding a ice cream cone.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 1117, "vid": "Hb1O2CUuSwk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Some people of different ages having fun at a pool.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111000011111011100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48 ], "relevant_windows": [ [ 44, 60 ], [ 72, 88 ], [ 90, 98 ] ] }, { "id": 3111, "vid": "Hb1O2CUuSwk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian family having fun in pool\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 0, 58 ] ] }, { "id": 7773, "vid": "Hb1O2CUuSwk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam view of a car travelling through a city.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 62, 84 ] ] }, { "id": 9715, "vid": "iWBU-K5dbhE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A male journalist talks to a group offering shelter to orphaned children of ISIS fighters.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 66, 150 ] ] }, { "id": 9969, "vid": "iWBU-K5dbhE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Gunfire and explosions show the horrors of war.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111011000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 14, 15, 16, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 14, 24 ], [ 28, 34 ], [ 68, 86 ] ] }, { "id": 9982, "vid": "iWBU-K5dbhE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Dash cam footage of police officers performing a traffic stop before shooting.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001011011111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 66, 70 ], [ 72, 78 ], [ 80, 122 ] ] }, { "id": 318, "vid": "xRClGm0DmzU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl in gray hat is looking at makeup.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 64, 100 ] ] }, { "id": 1548, "vid": "xRClGm0DmzU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The girl is riding a train while wearing a pink wool hat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111000111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 104, 124 ], [ 132, 146 ] ] }, { "id": 4808, "vid": "xRClGm0DmzU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman monologues sitting in her couch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7483, "vid": "xRClGm0DmzU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A collection of clear candles with flowers embedded inside them sit on a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 74, 96 ] ] }, { "id": 8394, "vid": "xRClGm0DmzU_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is showing the carnival shops\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 0, 44 ] ] }, { "id": 3303, "vid": "VYco9EldD0Q_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Indian family making film of there tour inside India and sharing some beautiful scenes\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11101110111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 10 ], [ 12, 22 ], [ 24, 150 ] ] }, { "id": 6412, "vid": "VYco9EldD0Q_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The little kids ride around in a toy jeep.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011100111111110000110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 62, 63, 64 ], "relevant_windows": [ [ 72, 80 ], [ 86, 112 ], [ 124, 130 ] ] }, { "id": 8135, "vid": "VYco9EldD0Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman carries a baby while walking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 34, 48 ] ] }, { "id": 360, "vid": "kMuq1MNhP00_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Plastic bags are tied on top.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000001101111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 51, 52, 53, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 102, 108 ], [ 110, 122 ] ] }, { "id": 4066, "vid": "kMuq1MNhP00_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A kid playing with his toys\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111110000000000000000111111111111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 4, 20 ], [ 68, 120 ] ] }, { "id": 5286, "vid": "kMuq1MNhP00_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men talk whilst sat at a desk with a child.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 70, 102 ] ] }, { "id": 1135, "vid": "X326z_D4OyE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Musicians are jumping on stage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111110000000011101111011000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 32, 33, 34, 35, 38, 39, 41, 42, 45, 46, 47 ], "relevant_windows": [ [ 18, 40 ], [ 64, 72 ], [ 76, 80 ], [ 82, 86 ], [ 90, 96 ] ] }, { "id": 3369, "vid": "X326z_D4OyE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different scenes are shown as a song is played.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 0, 42 ] ] }, { "id": 6474, "vid": "X326z_D4OyE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A celebrity singer sings in a music video-like clip\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 92, 128 ] ] }, { "id": 9132, "vid": "X326z_D4OyE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video showing a day life of a famous DJ\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 2506, "vid": "-l-ZfQfRs3I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman rides in the car with headwrap and scarf.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000011111000000000000001111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 9, 10, 11, 12, 13, 14, 15, 16, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 18, 34 ], [ 74, 94 ] ] }, { "id": 545, "vid": "cjgqrfJacWA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is showing her various bottles of supplements in black bottles with white labels.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111111111111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 42, 116 ] ] }, { "id": 2942, "vid": "cjgqrfJacWA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young American girl sharing her stuff on camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 ], "relevant_windows": [ [ 0, 136 ] ] }, { "id": 3980, "vid": "cjgqrfJacWA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman points to the food on her kitchen counter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111111110111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 36, 74 ], [ 78, 88 ] ] }, { "id": 8424, "vid": "cjgqrfJacWA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman shows the items in her purse.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 16, 56 ] ] }, { "id": 8807, "vid": "cjgqrfJacWA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a white top is describing her routine when she is back home.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111110011111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 78, 92 ], [ 98, 124 ] ] }, { "id": 4648, "vid": "nkmFFjRrqHM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Large group of people sit in fields.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010110101000000000011110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 7, 8, 9, 12, 13, 15, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 8, 12 ], [ 14, 20 ], [ 24, 28 ], [ 30, 32 ], [ 62, 74 ] ] }, { "id": 2046, "vid": "3PTyasnWk68_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman with stripe shirt is being driven to the airport, boards a plane then arrives at destination and checks in at hotel\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100000000001100110000001000111010100010100011000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 20, 21, 22, 26, 27, 38, 44, 45, 46, 47, 50, 53, 55, 59, 62, 67, 68, 69 ], "relevant_windows": [ [ 4, 8 ], [ 40, 46 ], [ 52, 56 ], [ 76, 78 ], [ 88, 96 ], [ 100, 102 ], [ 106, 108 ], [ 110, 112 ], [ 118, 120 ], [ 124, 126 ], [ 134, 140 ] ] }, { "id": 3021, "vid": "3PTyasnWk68_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman with blond hair showing all the clothes and shoes she has in her closet.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 106, 134 ] ] }, { "id": 9670, "vid": "63qdAAxHSwU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is looking at a large plaque.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29 ], "relevant_windows": [ [ 42, 60 ] ] }, { "id": 9728, "vid": "63qdAAxHSwU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Old man speaks next to plaques.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 112, 128 ] ] }, { "id": 9842, "vid": "63qdAAxHSwU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men are walking next to a river.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 2, 4 ], [ 8, 24 ] ] }, { "id": 3696, "vid": "EriqfBlZe5Y_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young man standing in front of a whiteboard teaching a class.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 114, 150 ] ] }, { "id": 4801, "vid": "EriqfBlZe5Y_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in baseball cap gives a speech in front of a projection screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111011100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 2, 34 ], [ 36, 46 ] ] }, { "id": 4806, "vid": "EriqfBlZe5Y_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in an orange adidas shirts speaks for a nearby crowd.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 104, 142 ] ] }, { "id": 5450, "vid": "EriqfBlZe5Y_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man is talking on the same spot of a busy sidewalk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 32, 48 ] ] }, { "id": 6380, "vid": "EriqfBlZe5Y_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in black t-shirt and wearing a hat is talking in front of many people then change to a man in black t-shirt talking to the people afterwards change to a man in white t-shirt and wearing a hat talking in front of people\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 6392, "vid": "EriqfBlZe5Y_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People in a crowd during a meting raising their hands\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111110000000000001100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 69, 70, 71 ], "relevant_windows": [ [ 88, 102 ], [ 138, 144 ] ] }, { "id": 7307, "vid": "EriqfBlZe5Y_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in baseball cap is being interviewed by a brick wall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 0, 52 ] ] }, { "id": 8289, "vid": "EriqfBlZe5Y_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a white T-shirt wearing a green baseball cap gives a talk to a number of people.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 491, "vid": "abRmll8VM9k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is sharing her daily routines\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000000011001111000000000000000000001001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 18, 19, 20, 24, 25, 26, 27, 28, 29, 60, 61, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 8 ], [ 36, 42 ], [ 48, 60 ], [ 120, 124 ], [ 128, 150 ] ] }, { "id": 2419, "vid": "abRmll8VM9k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with glasses and a white sweater sits on her bed and speaks to the camera.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 14, 128 ] ] }, { "id": 5194, "vid": "abRmll8VM9k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman is preparing a bowl of cereal, honey and bananas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 6948, "vid": "abRmll8VM9k_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman has her head resting over a counter with her arms crossed in front of her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 114, 132 ] ] }, { "id": 7515, "vid": "abRmll8VM9k_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks to camera leaning forward on the counter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001000000011111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 38, 42 ], [ 64, 150 ] ] }, { "id": 366, "vid": "UvgDldse9KU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The girl in the white shirt gives the dog a bath in the sink.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 34, 70 ] ] }, { "id": 2894, "vid": "UvgDldse9KU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl having chat with her cute puppy\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 4777, "vid": "UvgDldse9KU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A full dinner buffet is on the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 62, 102 ] ] }, { "id": 7244, "vid": "UvgDldse9KU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The Christmas tree is pink.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111100001000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 69 ], "relevant_windows": [ [ 104, 126 ], [ 138, 140 ] ] }, { "id": 8949, "vid": "UvgDldse9KU_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl sitting on a chair holding her dog and plays with her as she talks\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000110111011101110100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 30 ], "relevant_windows": [ [ 14, 22 ], [ 24, 34 ], [ 36, 46 ], [ 48, 58 ], [ 60, 62 ] ] }, { "id": 4687, "vid": "etgPBaSUDpc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two females observe a tourist attraction in Japan in the fall.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 8, 34 ] ] }, { "id": 7925, "vid": "etgPBaSUDpc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds fruit on a stick then eats it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 687, "vid": "xVeIxhIUT8I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cup of food is sitting on the counter.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 56, 70 ] ] }, { "id": 2158, "vid": "xVeIxhIUT8I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couple giving some review of new drink in vlog\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 88, 148 ] ] }, { "id": 6741, "vid": "xVeIxhIUT8I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black blouse and a man in blue t-shirt are talking in front of a camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 5475, "vid": "YhntzRB6TwM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman are drinking coffee together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111101100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66 ], "relevant_windows": [ [ 110, 126 ], [ 128, 134 ] ] }, { "id": 5606, "vid": "YhntzRB6TwM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman speaks while standing in a room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 4, 46 ] ] }, { "id": 5633, "vid": "YhntzRB6TwM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two friends show their lunch and the view by the beach before eating.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60 ], "relevant_windows": [ [ 106, 122 ] ] }, { "id": 9212, "vid": "autOFSurWi4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man enthusiastically compares the 2005 and 2020 hurricane seasons\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 110, 150 ] ] }, { "id": 1675, "vid": "A0JmK8Dwv3Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young man with green hair smokes while using an app.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 38, 72 ] ] }, { "id": 4041, "vid": "A0JmK8Dwv3Q_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a red tank top is smoking from a bong.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111110111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 39, 40, 41, 42 ], "relevant_windows": [ [ 38, 74 ], [ 78, 86 ] ] }, { "id": 4094, "vid": "A0JmK8Dwv3Q_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man makes a cocktail and drinks it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000101111000000000001110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 42, 43, 44, 45, 46, 47, 65, 66, 67, 68 ], "relevant_windows": [ [ 78, 82 ], [ 84, 96 ], [ 130, 138 ] ] }, { "id": 6903, "vid": "A0JmK8Dwv3Q_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with fur coat drives a car at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 96, 150 ] ] }, { "id": 6966, "vid": "A0JmK8Dwv3Q_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman preforms a routine with a hula hoop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 0, 38 ] ] }, { "id": 3264, "vid": "Ifgq2XU0G_s_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Cursive writing is shown over the videos.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001110110011000000011000000000000000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 26, 27, 31, 32, 33, 45, 46, 47, 73, 74 ], "relevant_windows": [ [ 38, 48 ], [ 52, 56 ], [ 62, 68 ], [ 90, 96 ], [ 146, 150 ] ] }, { "id": 4505, "vid": "Ifgq2XU0G_s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: View of the crowd walking down below.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111000000011100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 36, 37, 38, 39 ], "relevant_windows": [ [ 36, 50 ], [ 72, 80 ] ] }, { "id": 7685, "vid": "Ifgq2XU0G_s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman films herself wearing lingerie in the bathroom.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 62, 78 ] ] }, { "id": 9633, "vid": "z96UT5W0sfM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: More than 1/3 of the students in a New Jersey public high school class of 2019 is in the honor society\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111111111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 66, 132 ] ] }, { "id": 9934, "vid": "z96UT5W0sfM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People in white are walking down the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 86, 100 ] ] }, { "id": 10261, "vid": "z96UT5W0sfM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in standing in a white building's courtyard.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000001111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 33, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 66, 86 ] ] }, { "id": 4705, "vid": "CPdeKuaTMoU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with leather jacket eats ice cream.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111100100111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 66, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 76, 126 ], [ 132, 134 ], [ 140, 150 ] ] }, { "id": 4776, "vid": "CPdeKuaTMoU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man sitting down at a French cafe and enjoying a sandwich there.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 20, 44 ] ] }, { "id": 5833, "vid": "CPdeKuaTMoU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A person demonstrates a wooden chair that swivels.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 82, 96 ] ] }, { "id": 3374, "vid": "OtMUZzca89Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video captured from a vehicles's window\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111001100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 56, 57, 58 ], "relevant_windows": [ [ 58, 104 ], [ 112, 118 ] ] }, { "id": 4540, "vid": "OtMUZzca89Q_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of people are sailing on a boat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000011100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 0, 48 ], [ 80, 90 ] ] }, { "id": 5781, "vid": "OtMUZzca89Q_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A boat filled with people is sailing in the water.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 32, 34 ], [ 134, 150 ] ] }, { "id": 617, "vid": "ioWAoEVYaP0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in yellow top rides down a escalator.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 24, 46 ] ] }, { "id": 932, "vid": "ioWAoEVYaP0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Chefs are cooking food on a grill for a banquet after dark.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 90, 106 ] ] }, { "id": 7945, "vid": "ioWAoEVYaP0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in bright green top eats his dinner.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011000000000010001001110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 49, 50, 56, 60, 61, 62, 63 ], "relevant_windows": [ [ 62, 70 ], [ 98, 102 ], [ 112, 114 ], [ 120, 128 ] ] }, { "id": 510, "vid": "L_RuElxOqKI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A cat gets a shot.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 8, 26 ] ] }, { "id": 1692, "vid": "L_RuElxOqKI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Adorable dog and cat having photo session with asian girl\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ], "relevant_windows": [ [ 0, 22 ] ] }, { "id": 4156, "vid": "L_RuElxOqKI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman wears a baseball cap in the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "relevant_windows": [ [ 94, 116 ] ] }, { "id": 1377, "vid": "8s9fLWEi4So_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young girl holds packages of animal crackers before putting them in a box.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 4969, "vid": "8s9fLWEi4So_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Little girl gets super excited for lunch.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 94, 124 ] ] }, { "id": 5335, "vid": "8s9fLWEi4So_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in blue is cooking various slabs of beef on a flat cooktop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 60, 76 ] ] }, { "id": 2768, "vid": "seGgZtmWh9E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Family having fun on Christmas day and exchanging gifts\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 0, 80 ] ] }, { "id": 3664, "vid": "seGgZtmWh9E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The blonde woman has a lit up birthday cake in front of her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 8, 30 ] ] }, { "id": 3828, "vid": "seGgZtmWh9E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls unwrapping their Christmas gifts\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 0, 38 ], [ 40, 52 ] ] }, { "id": 2777, "vid": "EjV6yAxwyyI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in green is checking herself out in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "relevant_windows": [ [ 2, 38 ] ] }, { "id": 3698, "vid": "EjV6yAxwyyI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman typing on a laptop beside a jar of coffee with a straw in it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 120, 148 ] ] }, { "id": 3809, "vid": "EjV6yAxwyyI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl giving tips how to be productive\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 0, 126 ] ] }, { "id": 6970, "vid": "EjV6yAxwyyI_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a lime green jacket is checking out her skin in the mirror.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 8818, "vid": "EjV6yAxwyyI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl with yellow top is chopping avocado and making a filling for sandwich.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111101110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36 ], "relevant_windows": [ [ 40, 64 ], [ 66, 74 ] ] }, { "id": 9825, "vid": "zTf-3BOLi8w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Executives are rushed down a street with armed guards surrounding the area.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 104, 118 ] ] }, { "id": 10150, "vid": "zTf-3BOLi8w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Black and white photo of a man indicating we are listening to his audio.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111011110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 70, 86 ], [ 90, 102 ] ] }, { "id": 10302, "vid": "zTf-3BOLi8w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Trump signs a bill surrounded by people.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 132, 148 ] ] }, { "id": 589, "vid": "zKs0TO6ZTBI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl in short black shorts is climbing through a moving truck over objects inside of it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 52, 68 ] ] }, { "id": 2795, "vid": "zKs0TO6ZTBI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Kids are posing in their school outfits before getting on the bus that drives away.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 0, 34 ] ] }, { "id": 4920, "vid": "zKs0TO6ZTBI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of people give hugs to one another in a house.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 64, 84 ] ] }, { "id": 8574, "vid": "zKs0TO6ZTBI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young child gets off the school bus and is greeted by his dogs and walks to his home with his dogs following and making a fuss of him.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 108, 134 ] ] }, { "id": 9198, "vid": "1rguOCdMIY8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Fires are burning up the trunks of tall trees in a forest as a reporter in orange shirt reports on the situation there while emergency vehicles drive past.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 10, 32 ] ] }, { "id": 353, "vid": "m8tif6c-u8w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People's feet are walking outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 1790, "vid": "m8tif6c-u8w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde teenage girl has the lights off when she vlogs alone.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 82, 150 ] ] }, { "id": 6113, "vid": "m8tif6c-u8w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: There are sweeping views of the coast from a high viewpoint.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 3348, "vid": "AWoPkPjhxSo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman wearing a stripped shirt talking about what she is going to show in her next video.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 116, 144 ] ] }, { "id": 3472, "vid": "AWoPkPjhxSo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a stripped top and a cap is talking on different backgrounds.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00010100011011111111001101110000110110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 8, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 34, 35, 38, 39, 40, 41, 48, 49, 50, 52, 53, 54, 55 ], "relevant_windows": [ [ 10, 12 ], [ 16, 18 ], [ 28, 34 ], [ 36, 60 ], [ 62, 64 ], [ 66, 72 ], [ 76, 84 ], [ 96, 102 ], [ 104, 112 ] ] }, { "id": 5936, "vid": "AWoPkPjhxSo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People interview and photograph fans in the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 50, 56 ], [ 58, 68 ] ] }, { "id": 3088, "vid": "Ho_5YisGHyU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Teen girl does skincare routing on the plane.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 14, 36 ] ] }, { "id": 4244, "vid": "Ho_5YisGHyU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mom and her daughter drinking wine at a restaurant\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 8, 36 ] ] }, { "id": 6587, "vid": "Ho_5YisGHyU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shots of the exterior of the Church Of The Savior On Blood.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 22, 40 ] ] }, { "id": 9045, "vid": "Ho_5YisGHyU_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: an elaborate green lit cathedral is shown\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27 ], "relevant_windows": [ [ 32, 56 ] ] }, { "id": 2175, "vid": "6SdLxtywo4s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady talking to a little boy on the train\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46 ], "relevant_windows": [ [ 64, 94 ] ] }, { "id": 6400, "vid": "6SdLxtywo4s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group is making there way up stairs in the dark from a white vehicle parked nearby.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 8121, "vid": "6SdLxtywo4s_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with purple top moves the luggage to inside the house.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 12, 30 ] ] }, { "id": 4326, "vid": "ACMKgn5w2HY_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl exploring a hotel room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 110, 148 ] ] }, { "id": 6625, "vid": "ACMKgn5w2HY_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in white is showing off the green pool and oceanside view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111110000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28 ], "relevant_windows": [ [ 32, 34 ], [ 36, 58 ] ] }, { "id": 7697, "vid": "ACMKgn5w2HY_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Overhead shots of a breakfast spread.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 6, 20 ] ] }, { "id": 2780, "vid": "DLSkojSiAPs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl in aviator style sunglasses and a black sweater walking down a street with a friend.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111111100111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 34, 72 ], [ 78, 98 ] ] }, { "id": 2916, "vid": "DLSkojSiAPs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a white jacket is applying makeup while talking to. A camera and then she eats.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100111111111111110100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30 ], "relevant_windows": [ [ 0, 10 ], [ 14, 58 ], [ 60, 62 ] ] }, { "id": 4410, "vid": "DLSkojSiAPs_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl talking from a flight seat she just onboarded\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 128, 150 ] ] }, { "id": 4590, "vid": "DLSkojSiAPs_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: There is a montage of fans lining up and coming to meet the blonde woman.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 78, 108 ] ] }, { "id": 6193, "vid": "DLSkojSiAPs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is showing her hotel room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 8147, "vid": "DLSkojSiAPs_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in black top talks with her reflection in the window next to her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 16, 150 ] ] }, { "id": 8395, "vid": "DLSkojSiAPs_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman talks and gestures with ther hands while standing in a clothes shop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 114, 128 ] ] }, { "id": 8874, "vid": "DLSkojSiAPs_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady in pink top and sunglasses is walking down the high street with her friends.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111000000000000000000000000000000" } ], "video_timestamps": [ 1.4, 4.1, 6.9, 9.6, 12.3, 15.1, 17.8, 20.5, 23.3, 26.0, 28.8, 31.5, 34.3, 37.0, 39.7, 42.5, 45.2, 47.9, 50.7, 53.4, 56.2, 58.9, 61.7, 64.4, 67.1, 69.9, 72.6, 75.3, 78.1, 80.8, 83.6, 86.3, 89.1, 91.8, 94.5, 97.3, 100.0, 102.7, 105.5, 108.2, 111.0, 113.7, 116.5, 119.2, 121.9, 124.7, 127.4, 130.1, 132.9, 135.7 ], "duration": 138, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 36, 54 ] ] }, { "id": 9349, "vid": "BE1aCPDTGaQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in grey sweater is fixing the roof and a woman in red sweater is talking in front of a camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000000001111100111000000000000000000001111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 15, 16, 17, 18, 19, 20, 21, 26, 27, 28, 29, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 0, 2 ], [ 30, 44 ], [ 52, 60 ], [ 120, 132 ] ] }, { "id": 6511, "vid": "RH9FHjHgiJI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is walking through the streets of a busy city while carrying her baby in her shoulder.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11001100000000000000000000000000000000000111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 4, 6, 7, 8, 10, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 0, 6 ], [ 8, 10 ], [ 12, 18 ], [ 20, 22 ], [ 122, 134 ] ] }, { "id": 6626, "vid": "RH9FHjHgiJI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video of a family on a sunny day\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7905, "vid": "RH9FHjHgiJI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are walking around a building filled with large Buddha statues.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111111111111010000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64 ], "relevant_windows": [ [ 64, 124 ], [ 126, 130 ] ] }, { "id": 216, "vid": "mr9kK0_7x08_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man vlogs in between two speakers.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "relevant_windows": [ [ 0, 20 ] ] }, { "id": 494, "vid": "mr9kK0_7x08_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Elon Musk explain his robots in Tesala Motors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111000011111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 36, 37, 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 44, 60 ], [ 72, 90 ] ] }, { "id": 2589, "vid": "mr9kK0_7x08_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two man are walking through a car factory speaking on diffenert aspects of bare cars.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111110111111111111111111111111100001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 22 ], [ 24, 100 ], [ 110, 150 ] ] }, { "id": 6924, "vid": "mr9kK0_7x08_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men are watching vehicles being assembled in a factory.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100001111000000000000001111110000000001110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 11, 12, 13, 14, 15, 37, 38, 39, 40, 41, 42, 43, 44, 45, 60, 61, 62, 63 ], "relevant_windows": [ [ 0, 8 ], [ 22, 32 ], [ 74, 92 ], [ 120, 128 ] ] }, { "id": 7473, "vid": "mr9kK0_7x08_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men in black are walking through a factory together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 26, 28 ], [ 40, 150 ] ] }, { "id": 9719, "vid": "SFR7tydO10k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and a child are picking through the rubble in an area.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 40, 70 ] ] }, { "id": 9727, "vid": "SFR7tydO10k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Navy ships are sailing in the ocean.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001011111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 49, 50, 51, 52, 53, 54, 55, 56 ], "relevant_windows": [ [ 92, 96 ], [ 98, 114 ] ] }, { "id": 10104, "vid": "SFR7tydO10k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wearing white is standing in a grave site.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000110011000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 22, 23, 24, 25 ], "relevant_windows": [ [ 34, 40 ], [ 44, 52 ] ] }, { "id": 4985, "vid": "eBFyZ-JI_1s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is describing the gym onboard the cruise ship he is on\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "relevant_windows": [ [ 24, 70 ] ] }, { "id": 5985, "vid": "eBFyZ-JI_1s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman looks out at a large body of water.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000001111111110000000000000000000000000000000" } ], "video_timestamps": [ 1.4, 4.1, 6.8, 9.6, 12.3, 15.0, 17.7, 20.5, 23.2, 25.9, 28.7, 31.4, 34.1, 36.8, 39.6, 42.3, 45.0, 47.7, 50.5, 53.2, 55.9, 58.7, 61.4, 64.1, 66.8, 69.6, 72.3, 75.0, 77.7, 80.5, 83.2, 85.9, 88.7, 91.4, 94.1, 96.8, 99.6, 102.3, 105.0, 107.7, 110.5, 113.2, 115.9, 118.7, 121.4, 124.1, 126.8, 129.6, 132.3, 135.1 ], "duration": 138, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 28, 52 ] ] }, { "id": 5552, "vid": "FYhdTvyavoU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk down a manicured sidewalk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000001111001110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 42, 43, 44, 45, 46, 47, 51, 52, 53, 54 ], "relevant_windows": [ [ 84, 96 ], [ 102, 110 ] ] }, { "id": 7765, "vid": "FYhdTvyavoU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman tries on different plaid coats.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000110001111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 50, 58 ], [ 66, 84 ] ] }, { "id": 8255, "vid": "FYhdTvyavoU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young girl with glasses and a hat is recording herself while walking in the park.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000011100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 0, 34 ], [ 44, 54 ] ] }, { "id": 9171, "vid": "iAuIX5wnNYA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A newscast does a live report from a Pennsylvania storm\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111110000000000000000000000" } ], "video_timestamps": [ 1.4, 4.1, 6.8, 9.4, 12.1, 14.9, 17.5, 20.2, 23.0, 25.6, 28.4, 31.0, 33.8, 36.5, 39.2, 41.8, 44.5, 47.2, 50.0, 52.7, 55.3, 58.0, 60.8, 63.5, 66.1, 68.9, 71.6, 74.2, 76.9, 79.6, 82.4, 85.1, 87.8, 90.4, 93.1, 95.9, 98.6, 101.2, 103.9, 106.6, 109.4, 112.1, 114.8, 117.4, 120.1, 122.9, 125.6, 128.2, 130.9, 133.7 ], "duration": 136, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 0, 76 ] ] }, { "id": 3031, "vid": "869XmJMiEys_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man wears a black mask while out on the beach with friends.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 80, 108 ] ] }, { "id": 3370, "vid": "869XmJMiEys_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two people check out a bakery and eat some of the treats there.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111111100000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "relevant_windows": [ [ 98, 126 ] ] }, { "id": 6453, "vid": "869XmJMiEys_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Group of people are having fun and enjoying their dinner\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000101101111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 51, 52, 53, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 96, 100 ], [ 102, 108 ], [ 112, 150 ] ] }, { "id": 1985, "vid": "4HeSJ7tMo48_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy filming from a hill top\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 122, 150 ] ] }, { "id": 4232, "vid": "4HeSJ7tMo48_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in sunglasses by a window is eating a noodle soup dish.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 114, 138 ] ] }, { "id": 4327, "vid": "4HeSJ7tMo48_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man without vest in gray stands in rocks with crazy camera moves.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000111110000001001111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 39, 40, 41, 42, 44, 45, 46, 56, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 74, 76 ], [ 78, 86 ], [ 88, 94 ], [ 112, 114 ], [ 120, 150 ] ] }, { "id": 657, "vid": "iD6VPW7oJ_I_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman enters a hotel room and shows it off.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "relevant_windows": [ [ 46, 82 ] ] }, { "id": 7650, "vid": "iD6VPW7oJ_I_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The cameras pans around the city showing it's skyscrapers in the distance.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 150 ] ] }, { "id": 7747, "vid": "iD6VPW7oJ_I_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Different foods are ordered in restaurants.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001100000011000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 59, 60, 61 ], "relevant_windows": [ [ 92, 100 ], [ 118, 124 ] ] }, { "id": 4072, "vid": "Cj0xhVcR2Bk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girl sharing tips to make video from iPhone\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111110111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 26 ], [ 28, 44 ], [ 46, 62 ], [ 64, 102 ], [ 104, 150 ] ] }, { "id": 1195, "vid": "VKKH07K1zbI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian man sitting next to an Asian woman putting his fingers together while talking\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 120, 150 ] ] }, { "id": 3449, "vid": "VKKH07K1zbI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A chef cooking chicken and a plate of food\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "relevant_windows": [ [ 14, 36 ] ] }, { "id": 6413, "vid": "VKKH07K1zbI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a hat and young woman in a black and white dress sit by a table outside and talk.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 16, 150 ] ] }, { "id": 5004, "vid": "YcHW8Yj5HBc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman works out on the rings.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 6148, "vid": "YcHW8Yj5HBc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Group of friends are enjoying their breakfast\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 24, 54 ] ] }, { "id": 6646, "vid": "YcHW8Yj5HBc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is doing exercises while hanging from two circles.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 8072, "vid": "YcHW8Yj5HBc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman talk with their luggage next to them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 5699, "vid": "uZX-5R8cftI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People hold hands walking away.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 114, 128 ] ] }, { "id": 3880, "vid": "bEmdM0Peb_o_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The man in the yellow T-shirt is standing on Lego and then pretending to be hurt.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000011111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 44, 66 ] ] }, { "id": 5243, "vid": "bEmdM0Peb_o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A pouch of mayonnaise is dispensed into the pants of a young girl as 'punishment', who then has to wear it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 6209, "vid": "bEmdM0Peb_o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl and her little sister redefine \"jump and scream to the max\" as they excitedly announce game prizes, including an iPhone 12 Pro Max\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 0, 40 ] ] }, { "id": 7343, "vid": "bEmdM0Peb_o_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man holds a vhs when playing with the kids.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011100111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 136 ], [ 140, 150 ] ] }, { "id": 1925, "vid": "yuj1y5__jXg_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A youtuber editing his video before upload\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 58, 80 ] ] }, { "id": 2245, "vid": "yuj1y5__jXg_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A guy editing his travel video for his blog\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000011100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 8, 24 ], [ 36, 46 ] ] }, { "id": 3035, "vid": "yuj1y5__jXg_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Masked man drives while his friend wears a mask under his chin.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111100000000000111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 70, 100 ], [ 132, 142 ] ] }, { "id": 9028, "vid": "yuj1y5__jXg_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: two men drive in a car during the daytime\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111100000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ], "relevant_windows": [ [ 0, 18 ] ] }, { "id": 9724, "vid": "M2LGcH3S_ok_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: James Comey gives a speech in the middle of a aisle.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 40, 54 ] ] }, { "id": 9993, "vid": "M2LGcH3S_ok_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Internal documetns being displayed with bullets\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00110000000001100000000011100110000000000111000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 20, 21, 22, 36, 37, 38, 39, 43, 44, 45, 46, 61, 62, 63, 64, 65, 73, 74 ], "relevant_windows": [ [ 6, 12 ], [ 40, 46 ], [ 72, 80 ], [ 86, 94 ], [ 122, 132 ], [ 146, 150 ] ] }, { "id": 10106, "vid": "M2LGcH3S_ok_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman sits behind a desk that has a laptop with the show name on it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011000110011110000110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 43, 44, 45, 46, 50, 51, 52, 53, 54, 62, 63, 64 ], "relevant_windows": [ [ 72, 78 ], [ 86, 94 ], [ 100, 110 ], [ 124, 130 ] ] }, { "id": 435, "vid": "OIbtyKaPsCI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: the woman in the green cap and the man with the black sweater talk outside while hiking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111100000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "relevant_windows": [ [ 0, 54 ] ] }, { "id": 471, "vid": "OIbtyKaPsCI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man puts a mixture onto tortillas.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55 ], "relevant_windows": [ [ 98, 112 ] ] }, { "id": 526, "vid": "OIbtyKaPsCI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl is lying on her mother's chest.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000011000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 14, 15 ], "relevant_windows": [ [ 0, 16 ], [ 28, 32 ] ] }, { "id": 8841, "vid": "OIbtyKaPsCI_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mother and father update little girl's bedroom\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100111110110011110000000000000111111111110000001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 17, 18, 19, 22, 23, 24, 25, 26, 27, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 73, 74 ], "relevant_windows": [ [ 0, 8 ], [ 14, 30 ], [ 34, 40 ], [ 44, 56 ], [ 96, 128 ], [ 146, 150 ] ] }, { "id": 1743, "vid": "rsNuM2HcRh8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of children in their school outfits walk through a field together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 0, 80 ] ] }, { "id": 3858, "vid": "rsNuM2HcRh8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: School kids singing at a school\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 0, 96 ], [ 98, 118 ] ] }, { "id": 4164, "vid": "rsNuM2HcRh8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: School girl making v log during lunch\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73 ], "relevant_windows": [ [ 92, 148 ] ] }, { "id": 6928, "vid": "rsNuM2HcRh8_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Camera is looking up a two teen boys in matching suits.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111110000000111000000000001000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 39, 40, 41, 42, 43, 60 ], "relevant_windows": [ [ 32, 56 ], [ 78, 88 ], [ 120, 122 ] ] }, { "id": 8663, "vid": "rsNuM2HcRh8_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman drinks a bottle of water\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.3, 3.7, 6.2, 8.7, 11.2, 13.7, 16.2, 18.7, 21.2, 23.7, 26.2, 28.6, 31.1, 33.6, 36.1, 38.6, 41.1, 43.6, 46.1, 48.6, 51.1, 53.6, 56.1, 58.6, 61.1, 63.6, 66.1, 68.6, 71.0, 73.5, 76.0, 78.5, 81.0, 83.5, 86.0, 88.5, 91.0, 93.5, 96.0, 98.4, 100.9, 103.4, 105.9, 108.4, 110.9, 113.4, 115.9, 118.4, 120.9, 123.4 ], "duration": 126, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 12, 24 ] ] }, { "id": 2104, "vid": "UQHx-1rF89U_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and a woman pose dressed like characters from a video game.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111110000000000001111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 16, 48 ], [ 84, 106 ] ] }, { "id": 5698, "vid": "UQHx-1rF89U_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple is shopping in the milk section of a grocery store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 28, 44 ] ] }, { "id": 7751, "vid": "UQHx-1rF89U_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman looks through a menu.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111101100000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17 ], "relevant_windows": [ [ 12, 28 ], [ 30, 36 ] ] }, { "id": 2562, "vid": "rRpUM9ZoNkU_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady walking on a snowy ice\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 76, 102 ] ] }, { "id": 2698, "vid": "rRpUM9ZoNkU_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Young Mother have some chat with her sun\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 74, 102 ] ] }, { "id": 4130, "vid": "rRpUM9ZoNkU_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a white winter hat is driving through a snowy place.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 5993, "vid": "wQd4FV4AZa0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman in baseball cap monologues from the car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111111111111111111111111111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 8, 120 ] ] }, { "id": 6129, "vid": "wQd4FV4AZa0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two women are talking to each other in front of a camera as well as inside of a car and one of them is wearing a hat and a grey jacket and the other one is wearing a blue coat\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 502, "vid": "Uale9QeyLMI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is talking about the Christmas\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 2887, "vid": "Uale9QeyLMI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Bearded man in blue top narrates outside a apartment building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001111111111111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 38, 92 ] ] }, { "id": 9755, "vid": "bImK3gPEvc4_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A light display is lighting up the streets of a town.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 128, 146 ] ] }, { "id": 10092, "vid": "bImK3gPEvc4_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black coat is talking in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000010011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 116, 120 ], [ 126, 150 ] ] }, { "id": 10173, "vid": "bImK3gPEvc4_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Biden speaks between two American flags.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000110011111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 70, 76 ], [ 80, 96 ] ] }, { "id": 4309, "vid": "xHypiQpL2yQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The dash cam view of the car when it's driving.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 110, 132 ] ] }, { "id": 5715, "vid": "xHypiQpL2yQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman with bangs is attending an Asian festival with a large crowd in attendance.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111011000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52 ], "relevant_windows": [ [ 74, 96 ], [ 98, 106 ] ] }, { "id": 8247, "vid": "xHypiQpL2yQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The supension bridge covers a large river.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 34, 52 ] ] }, { "id": 9858, "vid": "xivzc8l7O_A_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Military soldiers in uniform visit a grave in the desert to pay respects.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 122, 142 ] ] }, { "id": 10053, "vid": "xivzc8l7O_A_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Some African people walk together in a large group and attend a ceremony.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000111111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 96, 120 ] ] }, { "id": 10066, "vid": "xivzc8l7O_A_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An explosion sends a cloud of dust and smoke into the air in a forest.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111110000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41 ], "relevant_windows": [ [ 70, 84 ] ] }, { "id": 472, "vid": "AD0qNZy48_s_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman adds ingredients to a bubbling pot of liquid and covers the pot with a top.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 2, 24 ] ] }, { "id": 1298, "vid": "AD0qNZy48_s_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: frying yummy Pakora's at home\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111111111111111111111111111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 12, 128 ] ] }, { "id": 6110, "vid": "AD0qNZy48_s_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger goes shopping in a beauty store.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 150 ] ] }, { "id": 6917, "vid": "AD0qNZy48_s_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Someone is shopping in the store for garlic bulbs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 100, 118 ] ] }, { "id": 8778, "vid": "AD0qNZy48_s_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman holds a bag of chick peas and talks about them.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 64, 65, 66, 67, 68, 69, 70 ], "relevant_windows": [ [ 128, 142 ] ] }, { "id": 9952, "vid": "TSi_JjS_nmk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Several NATO nations react to Russian military exercises by hosting their own military exercises\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00001111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 12, 44 ] ] }, { "id": 10243, "vid": "TSi_JjS_nmk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Military vehicles fire their weapons.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011101110011011001110000011001110100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 11, 12, 13, 14, 18, 19, 20, 23, 24, 25, 29, 30, 31, 32, 41, 42, 47, 48, 49, 50, 52, 53 ], "relevant_windows": [ [ 8, 18 ], [ 22, 30 ], [ 36, 42 ], [ 46, 52 ], [ 58, 66 ], [ 82, 86 ], [ 94, 102 ], [ 104, 108 ] ] }, { "id": 10283, "vid": "TSi_JjS_nmk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Donald Trump is seated in front of a wall of flags.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6 ], "relevant_windows": [ [ 0, 14 ] ] }, { "id": 9638, "vid": "yqYhbpOrC1Q_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men stand on a bridge and talk with hand gestures.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ], "relevant_windows": [ [ 14, 44 ] ] }, { "id": 9820, "vid": "yqYhbpOrC1Q_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two men in button up suits chat while in the back of an SUV.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000010011001100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 58, 59, 60, 64, 65, 66 ], "relevant_windows": [ [ 108, 110 ], [ 116, 122 ], [ 128, 134 ] ] }, { "id": 10088, "vid": "yqYhbpOrC1Q_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A family is preparing a meal in the kitchen and sit down to eat together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 132, 150 ] ] }, { "id": 9714, "vid": "KDpsbJHx1RI_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Mouse points out different areas of a photo of four media.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 82, 108 ] ] }, { "id": 9906, "vid": "KDpsbJHx1RI_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: File explorer showing the games tab.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 2, 16 ] ] }, { "id": 9949, "vid": "KDpsbJHx1RI_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Someone is going over the use of a video software with a youtube demo on the screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 98, 118 ] ] }, { "id": 918, "vid": "EE0NcEec_mo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black hat is driving a van.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111000010000000000110110000011100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 8, 9, 10, 11, 18, 19, 35, 36, 39, 40, 41, 50, 51, 52, 53 ], "relevant_windows": [ [ 8, 14 ], [ 16, 24 ], [ 36, 40 ], [ 70, 74 ], [ 78, 84 ], [ 100, 108 ] ] }, { "id": 6418, "vid": "EE0NcEec_mo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman shows off views of the rocky red cliffs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 ], "relevant_windows": [ [ 106, 140 ] ] }, { "id": 8242, "vid": "EE0NcEec_mo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black cap drives a car.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111111111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "relevant_windows": [ [ 4, 50 ] ] }, { "id": 6448, "vid": "mbdj8xfSIKo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shows off ornate tapestries.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 112, 132 ], [ 136, 150 ] ] }, { "id": 7840, "vid": "mbdj8xfSIKo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: View from the desert from a bus window.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 74, 100 ] ] }, { "id": 8264, "vid": "mbdj8xfSIKo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger walks through a sepia toned cave with statues.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 16, 40 ] ] }, { "id": 775, "vid": "S4z8QOxZisc_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A young woman wearing sunglasses talking to the camera and opening a bottle of champagne on the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111111000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 ], "relevant_windows": [ [ 52, 78 ] ] }, { "id": 5652, "vid": "S4z8QOxZisc_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Boats that are docked are shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 104, 118 ] ] }, { "id": 6518, "vid": "S4z8QOxZisc_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is sitting in front of a window wearing a very bright orange robe.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 ], "relevant_windows": [ [ 64, 98 ] ] }, { "id": 6309, "vid": "fZfaa1rJUjM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man and a woman wearing a hat are driving around the golf course in a golf cart.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00111111100001111000000000000011111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 20, 21, 22, 23, 24, 25, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 6, 28 ], [ 40, 52 ], [ 90, 108 ] ] }, { "id": 6552, "vid": "fZfaa1rJUjM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman and an old man are talking to each other in front of her camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111101111100111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 19, 20, 21, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 0, 26 ], [ 30, 44 ], [ 50, 76 ] ] }, { "id": 8225, "vid": "fZfaa1rJUjM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black tank top is talking in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000111000011111111111100110011101111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 21, 22, 23, 24, 25, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 53, 54, 58, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 0, 32 ], [ 42, 52 ], [ 64, 100 ], [ 106, 110 ], [ 116, 126 ], [ 130, 146 ] ] }, { "id": 3411, "vid": "WtAOsyldvJk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A girl doing a hotel room doors\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 0, 138 ] ] }, { "id": 5490, "vid": "WtAOsyldvJk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in glasses is eating a salad at a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111110000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68 ], "relevant_windows": [ [ 114, 138 ] ] }, { "id": 5743, "vid": "WtAOsyldvJk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman gives a tour of their hotel room.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 70, 150 ] ] }, { "id": 9058, "vid": "WtAOsyldvJk_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An exterior space with purple walls and a shower is shown.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 130, 150 ] ] }, { "id": 3397, "vid": "LcKnx7I97yk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Some amazing scenes from Ireland\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100000011111110001111111011111111000000000" } ], "video_timestamps": [ 1.5, 4.3, 7.2, 10.1, 12.9, 15.8, 18.7, 21.6, 24.4, 27.3, 30.2, 33.1, 36.0, 38.8, 41.7, 44.6, 47.4, 50.3, 53.2, 56.1, 58.9, 61.8, 64.7, 67.6, 70.5, 73.3, 76.2, 79.1, 82.0, 84.8, 87.7, 90.6, 93.4, 96.3, 99.2, 102.1, 105.0, 107.8, 110.7, 113.6, 116.5, 119.3, 122.2, 125.1, 128.0, 130.8, 133.7, 136.6, 139.5, 142.4 ], "duration": 144, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58 ], "relevant_windows": [ [ 0, 26 ], [ 42, 64 ], [ 72, 92 ], [ 96, 108 ], [ 110, 118 ] ] }, { "id": 5709, "vid": "LcKnx7I97yk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The vlogger tours a Guinness museum.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 104, 144 ] ] }, { "id": 7921, "vid": "LcKnx7I97yk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Vlogger goes on tour of various statues.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000110000000111111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 17, 18, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43 ], "relevant_windows": [ [ 34, 38 ], [ 60, 88 ] ] }, { "id": 700, "vid": "3r7kOP_nYNo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women in masks stand outside a building together.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111100001000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 51, 52 ], "relevant_windows": [ [ 64, 90 ], [ 102, 106 ] ] }, { "id": 7602, "vid": "3r7kOP_nYNo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black tank top and a woman in white t-shirt are talking in front of the camera in Paris\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011101111000000001111111111111111111111000111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 64, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 8, 18 ], [ 20, 34 ], [ 58, 124 ], [ 128, 130 ], [ 132, 146 ] ] }, { "id": 7957, "vid": "3r7kOP_nYNo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls are enjoying new ice cream flavor during their travel\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 92, 108 ] ] }, { "id": 584, "vid": "ez8kypBrMVE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman is walking a dog.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111100000000000111000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 53, 54, 55, 56 ], "relevant_windows": [ [ 48, 62 ], [ 64, 72 ], [ 106, 114 ] ] }, { "id": 1715, "vid": "ez8kypBrMVE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: White dog plays with the flip flop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000111111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 32, 62 ] ] }, { "id": 5156, "vid": "ez8kypBrMVE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady in a black t shirt uses a pair of scissors to trim the fur from the neck and upper back of a white pood;e\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111100000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44 ], "relevant_windows": [ [ 76, 90 ] ] }, { "id": 7257, "vid": "ez8kypBrMVE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman exercises on a yoga mat as her fluffy dog tries to play with her\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00011111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "relevant_windows": [ [ 10, 34 ] ] }, { "id": 8454, "vid": "ez8kypBrMVE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A Japanese woman is singing in a car whilst her dog stands beside her.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000000011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 136, 150 ] ] }, { "id": 2450, "vid": "VUV77-5ERxA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Uniformed soldier walks around in a circle while men do push ups.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 104, 106 ], [ 108, 150 ] ] }, { "id": 3899, "vid": "VUV77-5ERxA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A military camp drill on a night\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 4927, "vid": "VUV77-5ERxA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are filing out of a bus at night.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000011111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ], "relevant_windows": [ [ 36, 62 ] ] }, { "id": 7198, "vid": "VUV77-5ERxA_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A drill sargant barks orders at new recruits.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 7451, "vid": "VUV77-5ERxA_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk in a single file line into a building.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42 ], "relevant_windows": [ [ 70, 86 ] ] }, { "id": 609, "vid": "UDEfgewcr5E_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a cap backwards talking while some video parts of other videos appear on the left bottom corner of the screen.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000111111111100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 42, 72 ] ] }, { "id": 2200, "vid": "UDEfgewcr5E_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in black t shirt speaks into a professional mic stepup.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100001100111111110000111111111000001100100001001" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 11, 12, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 55, 56, 57, 58, 61, 62, 69, 70, 73, 74 ], "relevant_windows": [ [ 0, 8 ], [ 22, 26 ], [ 34, 56 ], [ 68, 96 ], [ 110, 118 ], [ 122, 126 ], [ 138, 142 ], [ 146, 150 ] ] }, { "id": 8261, "vid": "UDEfgewcr5E_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in backwards cap monologues to his professional mic.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111100111111111111111111001111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 64 ], [ 70, 122 ], [ 130, 150 ] ] }, { "id": 1956, "vid": "TJERhGzxRK8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: a woman is narrating while showing different scenes of the town such as seals, beach in tayrona national park\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111101010011010000000000001000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 11, 12, 13, 14, 15, 16, 17, 19, 20, 23, 27, 29, 31, 32, 51 ], "relevant_windows": [ [ 22, 36 ], [ 38, 42 ], [ 46, 48 ], [ 54, 56 ], [ 58, 60 ], [ 62, 66 ], [ 102, 104 ] ] }, { "id": 4487, "vid": "TJERhGzxRK8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A capybara is walking near a shoreline and a parrot is sitting in a nearby tree.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 80, 102 ] ] }, { "id": 7671, "vid": "TJERhGzxRK8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People are hanging out at the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001110000000000000000000001110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 60, 61, 62, 63 ], "relevant_windows": [ [ 48, 56 ], [ 120, 128 ] ] }, { "id": 4571, "vid": "Kuq50cVSFbw_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man holds up different camera parts.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000101110100010001100110110110111110011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 16, 17, 19, 20, 21, 22, 23, 26, 31, 32, 34, 37, 38, 39, 40, 44, 45, 46, 48, 49, 50, 53, 54, 57, 58, 59, 60, 61, 62, 63, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 32, 36 ], [ 38, 48 ], [ 52, 54 ], [ 62, 66 ], [ 68, 70 ], [ 74, 82 ], [ 88, 94 ], [ 96, 102 ], [ 106, 110 ], [ 114, 128 ], [ 136, 150 ] ] }, { "id": 5708, "vid": "Kuq50cVSFbw_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in a white shirt is holding up a silver laptop and reviwing it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000011111111111111000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "relevant_windows": [ [ 54, 96 ] ] }, { "id": 8078, "vid": "Kuq50cVSFbw_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man in white t-shirt is talking in front of the camera\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111010101100111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 16, 17, 19, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 24 ], [ 26, 30 ], [ 32, 36 ], [ 38, 46 ], [ 50, 150 ] ] }, { "id": 5787, "vid": "QHFy-nWNJYk_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple drive into Las Vegas and enjoy the sights.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000111111110000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 ], "relevant_windows": [ [ 70, 92 ] ] }, { "id": 6482, "vid": "QHFy-nWNJYk_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man wearing a hat enjoys the sunset from Dead Horse Point.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000011111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 100, 118 ] ] }, { "id": 7834, "vid": "QHFy-nWNJYk_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Tourists are stopping to look at the red rocky plateaus and outcrops.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111011111000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20 ], "relevant_windows": [ [ 14, 24 ], [ 26, 42 ] ] }, { "id": 5697, "vid": "IoNLqyYnO8k_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: An Asian woman opening the curtains on a small Inn's room\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 110, 128 ] ] }, { "id": 6475, "vid": "IoNLqyYnO8k_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman wearing sunglasses crosses a small colorful bridge over the river.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33 ], "relevant_windows": [ [ 50, 68 ] ] }, { "id": 7835, "vid": "IoNLqyYnO8k_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman talks directly to camera on a windy day.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 76, 150 ] ] }, { "id": 9815, "vid": "QN-ft-c0WZQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: One little boy in yellow jacket and one little boy in black hoodie are playing in a grass field\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111100000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "relevant_windows": [ [ 88, 118 ] ] }, { "id": 9849, "vid": "QN-ft-c0WZQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A press conference is being held at the office of the Rockland County with a grey haired man speaking.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111100010000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 19 ], "relevant_windows": [ [ 0, 28 ], [ 36, 40 ] ] }, { "id": 10260, "vid": "QN-ft-c0WZQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two children are sitting and doing homework.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100001111000000000011100000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 1, 2, 3, 4, 11, 12, 13, 14, 15, 31, 32, 33, 34, 35 ], "relevant_windows": [ [ 2, 10 ], [ 22, 32 ], [ 62, 72 ] ] }, { "id": 9770, "vid": "x1m7B8s1sQ0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Three tweets are shown next to each other.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51 ], "relevant_windows": [ [ 86, 104 ] ] }, { "id": 9919, "vid": "x1m7B8s1sQ0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Police in riot gear are marching down the street.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011110111000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 58, 59, 60, 61, 62, 63, 66, 67, 68, 69 ], "relevant_windows": [ [ 116, 128 ], [ 132, 140 ] ] }, { "id": 10069, "vid": "x1m7B8s1sQ0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A senator talks to a female news reporter about Russia and President Vladimir Putin.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 58, 150 ] ] }, { "id": 3269, "vid": "xDaZ261SHZA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shirtless man walks along the beach with his girlfriend.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 0, 24 ] ] }, { "id": 6657, "vid": "xDaZ261SHZA_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a black dress and sunglasses is relaxing under an orange umbrella on the beach.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000001111111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43 ], "relevant_windows": [ [ 48, 74 ], [ 76, 82 ], [ 86, 88 ] ] }, { "id": 7869, "vid": "xDaZ261SHZA_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Shirtless man walks past the stairs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000011111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 126, 150 ] ] }, { "id": 166, "vid": "iB1iaveR00c_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A panel is talking to a auditorium.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111110111010" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 66, 67, 68, 69, 72 ], "relevant_windows": [ [ 110, 128 ], [ 132, 140 ], [ 144, 146 ] ] }, { "id": 2757, "vid": "iB1iaveR00c_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A purple conference is going on with women on the stage.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000001111111100000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 ], "relevant_windows": [ [ 58, 80 ] ] }, { "id": 3625, "vid": "iB1iaveR00c_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Blonde woman shows off different outfits.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01111000000000000000000000000000000000000001111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 4, 5, 6, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 4, 14 ], [ 128, 144 ] ] }, { "id": 7017, "vid": "iB1iaveR00c_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman shows off a all white outfit.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000011111100000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 59, 60, 61, 62, 63, 64, 65, 66 ], "relevant_windows": [ [ 118, 134 ] ] }, { "id": 7539, "vid": "iB1iaveR00c_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Girls take photos in front of a backdrop.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000001100110100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 19, 20, 21, 25, 26, 27, 30, 31 ], "relevant_windows": [ [ 38, 44 ], [ 50, 56 ], [ 60, 64 ] ] }, { "id": 9332, "vid": "39AFfSOXl-8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Jamaican government officials describe efforts made for disaster preparedness\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000111111111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 86, 124 ] ] }, { "id": 39, "vid": "trcIoufeEgM_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man in gray sweatshirt is shopping wood.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001110011110100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 45, 46, 47, 48, 49, 50, 53 ], "relevant_windows": [ [ 76, 84 ], [ 90, 102 ], [ 106, 108 ] ] }, { "id": 3903, "vid": "trcIoufeEgM_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Guy showing plants condition during trail\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 48 ], [ 52, 150 ] ] }, { "id": 4975, "vid": "trcIoufeEgM_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man with red top walks around outside.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11100000011100011111111000000000000000000000001100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 13, 14, 15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 69, 70, 71 ], "relevant_windows": [ [ 0, 10 ], [ 26, 36 ], [ 44, 68 ], [ 138, 144 ] ] }, { "id": 239, "vid": "idvZpkYWOMQ_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two teen boys are in a airport lobby.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10011111100000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "relevant_windows": [ [ 0, 4 ], [ 8, 26 ] ] }, { "id": 2675, "vid": "idvZpkYWOMQ_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of friends eat large plates of food and clear them off at a table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "relevant_windows": [ [ 0, 30 ] ] }, { "id": 6072, "vid": "idvZpkYWOMQ_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A group of men are showing other people playing game on the computer\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111111111111111110" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72 ], "relevant_windows": [ [ 76, 146 ] ] }, { "id": 7203, "vid": "idvZpkYWOMQ_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Two people are playing a fighting game against one another.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000001111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 120, 144 ] ] }, { "id": 7389, "vid": "idvZpkYWOMQ_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A man is sitting an an angle towards the screen and watching his friend play a video game.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000001111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 92, 150 ] ] }, { "id": 654, "vid": "_OiTj9QUt_g_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Man and woman have a conversation in a train station.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000011111110011111110000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59 ], "relevant_windows": [ [ 72, 94 ], [ 100, 120 ] ] }, { "id": 3288, "vid": "_OiTj9QUt_g_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Couples share some scenes of Paris from Eiffel tower\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000011111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 82, 150 ] ] }, { "id": 6406, "vid": "_OiTj9QUt_g_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A vlogger couple are impressed by their river tour of Paris, including views of the Notre Dame still under repair after a recent fire\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 112, 150 ] ] }, { "id": 227, "vid": "BSEfaooDUEE_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is making fruit and protein smoothie\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111110110111111110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 ], "relevant_windows": [ [ 74, 94 ], [ 96, 102 ], [ 104, 128 ] ] }, { "id": 2643, "vid": "BSEfaooDUEE_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman with black top drives with her boyfriend in the passenger seat.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110001111111111111111111110000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50 ], "relevant_windows": [ [ 0, 30 ], [ 38, 102 ] ] }, { "id": 5204, "vid": "BSEfaooDUEE_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman shows off her makeup purchase.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111100000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ], "relevant_windows": [ [ 0, 46 ] ] }, { "id": 6956, "vid": "BSEfaooDUEE_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in black is folding white blankets and sheets.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "relevant_windows": [ [ 50, 76 ] ] }, { "id": 7504, "vid": "BSEfaooDUEE_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: The woman with the black sweater blends up the smoothie.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111110000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54 ], "relevant_windows": [ [ 90, 110 ] ] }, { "id": 9358, "vid": "yjzmMAmgNFA_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A journalist covers the storm damage to the newsroom itself\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011111111111100000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "relevant_windows": [ [ 62, 100 ] ] }, { "id": 1177, "vid": "4IYQN95j6ok_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman visits an oriental shrine and drinks its water.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 124, 144 ] ] }, { "id": 4333, "vid": "4IYQN95j6ok_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman goes to a restaurant and gets food.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000111111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 16, 40 ] ] }, { "id": 4543, "vid": "4IYQN95j6ok_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman walks along a street talking to the camera before meeting up with her friends.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ], "relevant_windows": [ [ 0, 32 ] ] }, { "id": 8994, "vid": "4IYQN95j6ok_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People walk through a glass tunnel.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "01100111000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 2, 3, 7, 8, 9, 10, 11 ], "relevant_windows": [ [ 4, 8 ], [ 14, 24 ] ] }, { "id": 1045, "vid": "U4tUPpmv1qo_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman browses the food offering in a building with a green roof.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000001111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 110, 144 ] ] }, { "id": 7635, "vid": "U4tUPpmv1qo_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Women in white a performing a traditional dance.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111110000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 25, 26, 27, 28, 29, 30, 31, 32 ], "relevant_windows": [ [ 50, 66 ] ] }, { "id": 8099, "vid": "U4tUPpmv1qo_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Groups of people walk up the stairs.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111000000000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7 ], "relevant_windows": [ [ 0, 16 ] ] }, { "id": 722, "vid": "jdhIgsf5X5o_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman walking on dock with her dog\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000001111111111000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52 ], "relevant_windows": [ [ 76, 106 ] ] }, { "id": 1825, "vid": "jdhIgsf5X5o_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Scenes of different animals in Alaska\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111100001111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 62, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 108, 122 ], [ 124, 126 ], [ 138, 150 ] ] }, { "id": 4750, "vid": "jdhIgsf5X5o_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A herd of bison is shown crossing the road.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "10000000000110000011111111111110011111111111011111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 17, 18, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 2 ], [ 34, 38 ], [ 54, 56 ], [ 58, 94 ], [ 100, 132 ], [ 136, 150 ] ] }, { "id": 3489, "vid": "ssopBo-qfso_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A video collection of wonderful places to visit\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111111111111111111111111111111111111111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 0, 150 ] ] }, { "id": 5541, "vid": "ssopBo-qfso_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Many great buildings from the Renaissance remain in Florence\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000011111111111111000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65 ], "relevant_windows": [ [ 90, 132 ] ] }, { "id": 193, "vid": "Ps1SNAGQTc0_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman holds up a bottle of Ghee.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000111111000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 53, 54, 55, 56, 57, 58, 59, 60, 61 ], "relevant_windows": [ [ 106, 124 ] ] }, { "id": 271, "vid": "Ps1SNAGQTc0_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is going over her ingredients which include lemons, and salmon.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111111110000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "relevant_windows": [ [ 0, 48 ] ] }, { "id": 5349, "vid": "Ps1SNAGQTc0_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A lady is showing her new blank notebook\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000011111111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 108, 144 ] ] }, { "id": 7416, "vid": "Ps1SNAGQTc0_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Woman shows the product page of beauty cream.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000001111111111000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ], "relevant_windows": [ [ 20, 52 ] ] }, { "id": 8791, "vid": "Ps1SNAGQTc0_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Someone is strapping their legs in with a pink strap on the floor to do some exercise.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000111110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 12, 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 24, 40 ] ] }, { "id": 2133, "vid": "8xJSEwLPhN8_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: People jump into the water and swim around.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000000111111100" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ], "relevant_windows": [ [ 122, 144 ] ] }, { "id": 2221, "vid": "8xJSEwLPhN8_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A couple swimming in Blue Lagoon sea\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000101111111111111100000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 30, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53 ], "relevant_windows": [ [ 60, 62 ], [ 66, 74 ], [ 76, 108 ] ] }, { "id": 5492, "vid": "8xJSEwLPhN8_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman in a white tank top and a man in a black tank top enjoy the ocean view.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000111111110000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 ], "relevant_windows": [ [ 52, 74 ] ] }, { "id": 1761, "vid": "_e8_yuedv6w_60.0_210.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman showing some vegetables and fruits inside plastic bags\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000011001111111111110001110000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 32, 33, 34, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 60, 61, 62, 63, 64 ], "relevant_windows": [ [ 64, 70 ], [ 76, 110 ], [ 120, 130 ] ] }, { "id": 3992, "vid": "_e8_yuedv6w_210.0_360.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Hand shows different foods on the table.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111111011111111100000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 ], "relevant_windows": [ [ 0, 32 ], [ 36, 64 ] ] }, { "id": 6222, "vid": "_e8_yuedv6w_360.0_510.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A white plate has different fruits and vegetables.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000000000000000000000000000000000111111110111" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74 ], "relevant_windows": [ [ 114, 138 ], [ 140, 150 ] ] }, { "id": 7123, "vid": "_e8_yuedv6w_510.0_660.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: A woman is making a type of green smoothie in a blender and filling a glass cup with it.\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "00000000011110000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.5, 7.5, 10.5, 13.5, 16.5, 19.5, 22.5, 25.5, 28.5, 31.5, 34.5, 37.5, 40.5, 43.5, 46.5, 49.5, 52.5, 55.5, 58.5, 61.5, 64.5, 67.5, 70.5, 73.5, 76.5, 79.5, 82.5, 85.5, 88.5, 91.5, 94.5, 97.5, 100.5, 103.5, 106.5, 109.5, 112.5, 115.5, 118.5, 121.5, 124.5, 127.5, 130.5, 133.5, 136.5, 139.5, 142.5, 145.5, 148.5 ], "duration": 150, "relevant_clip_ids": [ 13, 14, 15, 16, 17, 18, 19 ], "relevant_windows": [ [ 26, 40 ] ] }, { "id": 8420, "vid": "_e8_yuedv6w_660.0_810.0", "conversations": [ { "role": "user", "content": "\nYou are given 50 frames sampled from a video, ordered and separated by newline characters, indexed from 0 to 49:\nFrame 0: \nFrame 1: \nFrame 2: \nFrame 3: \nFrame 4: \nFrame 5: \nFrame 6: \nFrame 7: \nFrame 8: \nFrame 9: \nFrame 10: \nFrame 11: \nFrame 12: \nFrame 13: \nFrame 14: \nFrame 15: \nFrame 16: \nFrame 17: \nFrame 18: \nFrame 19: \nFrame 20: \nFrame 21: \nFrame 22: \nFrame 23: \nFrame 24: \nFrame 25: \nFrame 26: \nFrame 27: \nFrame 28: \nFrame 29: \nFrame 30: \nFrame 31: \nFrame 32: \nFrame 33: \nFrame 34: \nFrame 35: \nFrame 36: \nFrame 37: \nFrame 38: \nFrame 39: \nFrame 40: \nFrame 41: \nFrame 42: \nFrame 43: \nFrame 44: \nFrame 45: \nFrame 46: \nFrame 47: \nFrame 48: \nFrame 49: \n\n**Your task**: given an activity, analyze the video frames to identify which ones contain the specified activity.\n\n**Output format**: provide a 50 character binary segmentation mask, specifically:\n - '1' means the frame at that position likely matches to the activity.\n - '0' means the frame at that position likely does not match to the activity.\n - Your output must be exactly 50 characters long and contain only '1's and '0's, with no spaces or other delimiters and no explanations.\n\n**Activity**: Footage of two eggs being fried on a small pan\n\n**Question**: Which frames contains the activity?\n" }, { "role": "assistant", "content": "11111111110000000000000000000000000000000000000000" } ], "video_timestamps": [ 1.5, 4.3, 7.2, 10.1, 12.9, 15.8, 18.7, 21.6, 24.5, 27.3, 30.2, 33.1, 36.0, 38.8, 41.7, 44.6, 47.5, 50.3, 53.2, 56.1, 59.0, 61.8, 64.7, 67.6, 70.4, 73.4, 76.2, 79.1, 82.0, 84.9, 87.7, 90.6, 93.5, 96.4, 99.2, 102.1, 105.0, 107.9, 110.7, 113.6, 116.5, 119.4, 122.2, 125.1, 128.0, 130.9, 133.8, 136.6, 139.5, 142.4 ], "duration": 144, "relevant_clip_ids": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "relevant_windows": [ [ 0, 28 ] ] } ]